Industrial Engineering and Logistic management

Permanent URI for this collectionhttps://etd.hu.edu.et/handle/123456789/75

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COST ANALYSIS OF CONTAINER TERMINAL OPERATION USING DISCRETE EVENT SIMULATION: A CASE OF MODJO DRY PORT
(Hawassa University, 2022-08-10) ABRAHAM TAMENE DHUNFA
A container terminal operation in MDP is a system with several subsystems and a large number of decisions for each subsystem. Due to the interactions of these subsystems, there is a lot of stochastic influence and interdependencies within the decisions which make an optimized operation of a whole container terminal very hard and without technical and methodical support hard to handle. One optimal operated subsystem influences all other subsystems and therefore does not result in optimality for the whole system. The research thesis focuses on analyzing the containers terminal operations at a terminal truck gate system, train side operations and yard side operations. To analyze the operations in an overall system with all its stochastic influence and interactions the method of simulation is used in this thesis, which provides the opportunity to create an experimental model and identify the best recommended course of action .The method in the data collection was a time measurement, simulations and document extraction was done. The developed simulation model which permits the modeling and simulation of container flows in a container terminal by truck and train. The new configuration of resources has brought 12% reduction of the total cost. The thesis found that MDP should work18 hours a day for overall optimality than 12 hours a day as proved in scenarios. The optimal cost of system was found to be ETB 1,426,646.55 given that each resource assigned per respective position in September 2021. If it cannot optimize the total cost of the system MDP CTO in higher depth and details, the competiveness and logistics hub of MDP will incur a lot of cost and time. More research and innovation are needed to keep CTO running at minimal cost while still providing required services for both trucks and trains.
COST ANALYSIS OF CONTAINER TERMINAL OPERATION USING DISCRETE EVENT SIMULATION: A CASE OF MODJO DRY PORT
(Hawassa University, 2022-10-28) ABRAHAM TAMENE DHUNFA
A container terminal operation in MDP is a system with several subsystems and a large number of decisions for each subsystem. Due to the interactions of these subsystems, there is a lot of stochastic influence and interdependencies within the decisions which make an optimized operation of a whole container terminal very hard and without technical and methodical support hard to handle. One optimal operated subsystem influences all other subsystems and therefore does not result in optimality for the whole system. The research thesis focuses on analyzing the containers terminal operations at a terminal truck gate system, train side operations and yard side operations. To analyze the operations in an overall system with all its stochastic influence and interactions the method of simulation is used in this thesis, which provides the opportunity to create an experimental model and identify the best recommended course of action .The method in the data collection was a time measurement, simulations and document extraction was done. The developed simulation model which permits the modeling and simulation of container flows in a container terminal by truck and train. The new configuration of resources has brought 12% reduction of the total cost. The thesis found that MDP should work18 hours a day for overall optimality than 12 hours a day as proved in scenarios. The optimal cost of system was found to be ETB 1,426,646.55 given that each resource assigned per respective position in September 2021. If it cannot optimize the total cost of the system MDP CTO in higher depth and details, the competiveness and logistics hub of MDP will incur a lot of cost and time. More research and innovation are needed to keep CTO running at minimal cost while still providing required services for both trucks and trains.
DESIGNING A DISTRIBUTION NETWORK FOR HIGHLY DEMANDED COMMODITYCASE OF SOUTH SPRING WATER IN SIDAMA NATIONAL REGIONAL STATE
(Hawassa University, 2022-03-10) TSEGAABTESEMAHATIYA
A distribution is one of a key activity that has a direct impact on the success and the overall profitability of a given supply chain. If a distribution of a given product managed properly, it will have a great impact on both the success and customer satisfaction of a given SC. However, there are many manufacturing companies in Ethiopia, most of them do not have properly designed distribution network. This research is intended to design a new distribution network for a water bottling company located in Sidama National Regional State Arbegona Woreda..To distribute a given product in cost effective manner there should some decisions be made which include number of regional warehouses, location of regional warehouse and transportation cost to and from the regional distribution. So the research decides the number and the locations of regional distribution centers by utilizing FAHP method. After the locations of the RDCs found, a new distribution network will be proposed and the Transshipment was modeled based on a newly proposed distribution network and solved by using software package find out the optimum transportation cost. After the Transshipment model solved and optimum solution was found the cost effective RDCs was assigned to different demand locations in the region. Finally, the new cost effective distribution network diagram was developed and the cost of transportation was compared to the existing transportation cost of the company to cover all demand location and the newly designed network saves the company 13.7 million ETB annually which is being wasted due to ineffective distribution network
DESIGNING DISTRIBUTION NETWORK FOR HIGHLY DEMANDED COMMODITYCASE OF SOUTH SPRING WATER IN SIDAMA NATIONAL REGIONAL STATE
(Hawassa University, 2022-12-24) TSEGAABTESEMAHATIYA
A distribution is one of a key activity that has a direct impact on the success and the overall profitability of a given supply chain. If a distribution of a given product managed properly, it will have a great impact on both the success and customer satisfaction of a given SC. However, there are many manufacturing companies in Ethiopia, most of them do not have properly designed distribution network. This research is intended to design a new distribution network for a water bottling company located in Sidama National Regional State Arbegona Woreda..To distribute a given product in cost effective manner there should some decisions be made which include number of regional warehouses, location of regional warehouse and transportation cost to and from the regional distribution. So the research decides the number and the locations of regional distribution centers by utilizing FAHP method. After the locations of the RDCs found, a new distribution network will be proposed and the Transshipment was modeled based on a newly proposed distribution network and solved by using software package find out the optimum transportation cost. After the Transshipment model solved and optimum solution was found the cost effective RDCs was assigned to different demand locations in the region. Finally, the new cost effective distribution network diagram was developed and the cost of transportation was compared to the existing transportation cost of the company to cover all demand location and the newly designed network saves the company 13.7 million ETB annually which is being wasted due to ineffective distribution network
DESIGNING GREEN SUPPLY CHAIN MANAGEMENT SYSTEM FOR HORIZON ADDIS TIRE MANUFATURING P.L.C
(Hawassa University, 2021-10-06) LEISO LIRANSO GICHAMO
The history of tire manufacturing goes back to early 19th century and in Ethiopia the tire manufacturing industry began in 1972 G.C, where Addis Tire S.C. is first of its kind and currently holds its new name “Horizon Addis Tire Manufacturing PLC”. However, the company being the leading tire manufacturing company, it continued to waste inputs and operated at low level of capacity resulted by different internal and external factors. In an existing status where companies eliminate wastes from their manufacturing and natural environment, HATMPLC imports almost all of its inputs from abroad followed by packaging wastes, and this is the point where the situation needs scientific inquiry and solution. The general objective of this study is to design green supply chain management model in Horizon Addis Tire Manufacturing PLC. Data is collected using interview, document review and observation approaches. Observation was made to understand and structure the tyre production process, eight detailed key informant interviews were carried out and essential documents from the company were reviewed. Data were analyzed in descriptive analyses for performance measurements and waste study. As a result, the existing supply chain structure of the company was structured, and its supply chain processes were discussed. The company is extremely dependent on import from abroad where all of raw materials, except for part of the natural rubber, are imported, and it has a production waste of about 16,129,099.4 in 2011 E.C and 14,366,005.5 ETB worth in 2012 E.C just from tire defect. The company had 55.9% and 48.9% of capacity utilization in 2011 E.C and 2012 E.C respectively, and it improved the reliability and responsiveness performance attributes while cost and flexibility attributes sustained and asset turn over and total supply chain management cost dragged down. Following this, a green supply chain management is designed through the designs of green supply chain processes in accordance with green Supply Chain Operations Reference by applying best practices. To conclude, although HATMPLC is producing essential product, its waste management performance is below its target set. The company needs a governmental attention in consideration with environmental management and market place since the company plays important role in fulfilling the domestic tyre demand and equally contribute to waste accumulation in the country
DESIGNING GREEN SUPPLY CHAIN MANAGEMENT SYSTEM FOR HORIZON ADDIS TIRE MANUFATURING P.L.C
(Hawassa University, 2021-10-17) LEISO LIRANSO GICHAMO
The history of tire manufacturing goes back to early 19th century and in Ethiopia the tire manufacturing industry began in 1972 G.C, where Addis Tire S.C. is first of its kind and currently holds its new name “Horizon Addis Tire Manufacturing PLC”. However, the company being the leading tire manufacturing company, it continued to waste inputs and operated at low level of capacity resulted by different internal and external factors. In an existing status where companies eliminate wastes from their manufacturing and natural environment, HATMPLC imports almost all of its inputs from abroad followed by packaging wastes, and this is the point where the situation needs scientific inquiry and solution. The general objective of this study is to design green supply chain management model in Horizon Addis Tire Manufacturing PLC. Data is collected using interview, document review and observation approaches. Observation was made to understand and structure the tyre production process, eight detailed key informant interviews were carried out and essential documents from the company were reviewed. Data were analyzed in descriptive analyses for performance measurements and waste study. As a result, the existing supply chain structure of the company was structured, and its supply chain processes were discussed. The company is extremely dependent on import from abroad where all of raw materials, except for part of the natural rubber, are imported, and it has a production waste of about 16,129,099.4 in 2011 E.C and 14,366,005.5 ETB worth in 2012 E.C just from tire defect. The company had 55.9% and 48.9% of capacity utilization in 2011 E.C and 2012 E.C respectively, and it improved the reliability and responsiveness performance attributes while cost and flexibility attributes sustained and asset turn over and total supply chain management cost dragged down. Following this, a green supply chain management is designed through the designs of green supply chain processes in accordance with green Supply Chain Operations Reference by applying best practices. To conclude, although HATMPLC is producing essential product, its waste management performance is below its target set. The company needs a governmental attention in consideration with environmental management and market place since the company plays important role in fulfilling the domestic tyre demand and equally contribute to waste accumulation in the country
DISCRETE EVENT SIMULATION BASED OPERATIONAL PERFORMANCE ANAYLSIS OF MODJO DRY PORT, OROMIA, ETHIOPIA
(Hawassa University, 2018-04-08) MAHMUD ABDURAHMAN
Container terminal operation consists of gate, container yard, and train and berth operation. The facilities used in the container terminal are reach stacker cranes, empty container handler, and yard tractors. The loading sequence of containers does not follow a FIFO (first in-first out) policy, and hence, the arrival order of containers does not define the sequence in which they are loaded. The purpose of this study was operational performance analysis of container terminals for the case of Modjo Dry Port. The study determined key port performance indicators (KPIs) of container terminal, factors affecting operational performance at container terminals and productivity level for container terminal. The researcher proposed a Desecrate Event Simulation (DES) model and a heuristic procedure for container’s sacking plan and for gate operations. The main objective of formulating different scenarios was to find possible sets of input parameters, structural assumptions or model specifications that could lead to best performance. The data was collected using questionnaire, interview, conversation and observation the data was analyzed using descriptive statistics. The result of the analysis indicated that the numbers of gate operations, truck visit time, container dwell time (equipment, labor and land) productivity, container traffic are among the key performance indicator (KPIs). The study found the factors that affect the efficiency of operational performance are gate capacity, gate working hours, and resources within the terminal and truck arrival patterns container stacking system, custom clearance, container dwell time, operator experience, yard layout and maintenance problem. Current container terminal productivity level is poor comparing with industry bench mark of labor, equipment, and land. Based on the findings of the study, it is recommended that performance improvement strategy is changing current stacking strategies to dwell time segregated container stacking strategies. In addition, specific recommendations were made to address the issues identified which, if implemented, could significantly address the current inefficiencies observed in the Modjo Dry Port’s operations
DISCRETE EVENT SIMULATION BASED OPERATIONAL PERFORMANCE ANAYLSIS OF MODJO DRY PORT, OROMIA, ETHIOPIA
(Hawassa University, 2018-10-22) MAHMUD ABDURAHMAN
Container terminal operation consists of gate, container yard, and train and berth operation. The facilities used in the container terminal are reach stacker cranes, empty container handler, and yard tractors. The loading sequence of containers does not follow a FIFO (first in-first out) policy, and hence, the arrival order of containers does not define the sequence in which they are loaded. The purpose of this study was operational performance analysis of container terminals for the case of Modjo Dry Port. The study determined key port performance indicators (KPIs) of container terminal, factors affecting operational performance at container terminals and productivity level for container terminal. The researcher proposed a Desecrate Event Simulation (DES) model and a heuristic procedure for container’s sacking plan and for gate operations. The main objective of formulating different scenarios was to find possible sets of input parameters, structural assumptions or model specifications that could lead to best performance. The data was collected using questionnaire, interview, conversation and observation the data was analyzed using descriptive statistics. The result of the analysis indicated that the numbers of gate operations, truck visit time, container dwell time (equipment, labor and land) productivity, container traffic are among the key performance indicator (KPIs). The study found the factors that affect the efficiency of operational performance are gate capacity, gate working hours, and resources within the terminal and truck arrival patterns container stacking system, custom clearance, container dwell time, operator experience, yard layout and maintenance problem. Current container terminal productivity level is poor comparing with industry bench mark of labor, equipment, and land. Based on the findings of the study, it is recommended that performance improvement strategy is changing current stacking strategies to dwell time segregated container stacking strategies. In addition, specific recommendations were made to address the issues identified which, if implemented, could significantly address the current inefficiencies observed in the Modjo Dry Port’s operations
E-COMMERCE CHALLENGES AND THEORETICAL IMPLEMENTATION MODEL ADOPTION: CASES OF RETAILERS IN ADDIS ABABA & HAWASSA CITIES
(Hawassa University, 2021-03-06) AYENEW TSEGA ABATE
Retailing industries, enterprises and other businesses are operated globally with technologically advanced methods that can be mentioned in different names like e-commerce, online shopping, digital marketing and others. However, these business-running mechanisms are not even officially emerged in Ethiopia as it is expected due to many problems. The researcher identified these e commerce implementation barriers and proposed conceptual adoption frameworks that consider the Ethiopian infrastructures and other operational conditions. The data and necessary information for the study were obtained by using various scientific data collection mechanisms. These mechanisms include field observation, questionnaires, phone and face-to-face interviews. The target populations for this study were mainly online retailers found in Addis Ababa and traditional wholesalers, supermarkets found in Addis Ababa & Hawassa cities were considered in the study. However, the existed online shopping sites in Addis Ababa were interviewed and the detailed analysis was made. The data collected by using questionnaires were analyzed using the SPSS software for the further solidification of the study. From the analyzed data; lack of infrastructure, absence of government policies and rules on e-commerce, absence of e-logistics, unavailability of payment methods, lack of interest, trust, security and awareness of both business owners and customers were basic barriers to adopt and implement e-commerce. At the end of this work based on the above influencing factors of e-commerce in Ethiopia and the review of benchmark e commerce adoption models from abroad, the new adoption model that fit with the current Ethiopian technological conditions was proposed. This proposed e-commerce adoption model was justified through the multinomial regression analysis of the variables of the model by using SPSS software. This thesis has important contributions for different groups of the community in Ethiopia, which planned to involve in the retailing business. The business owners and their customers are those whom supposed to be the first beneficiaries of this work. Since the study shows them the way to run their businesses using the modern technology by introducing the applicability of e-commerce
E-COMMERCE CHALLENGES AND THEORETICAL IMPLEMENTATION MODEL ADOPTION: CASES OF RETAILERS IN ADDIS ABABA & HAWASSA CITIES
(Hawassa University, 2021-10-20) AYENEW TSEGA ABATE
Retailing industries, enterprises and other businesses are operated globally with technologically advanced methods that can be mentioned in different names like e-commerce, online shopping, digital marketing and others. However, these business-running mechanisms are not even officially emerged in Ethiopia as it is expected due to many problems. The researcher identified these e commerce implementation barriers and proposed conceptual adoption frameworks that consider the Ethiopian infrastructures and other operational conditions. The data and necessary information for the study were obtained by using various scientific data collection mechanisms. These mechanisms include field observation, questionnaires, phone and face-to-face interviews. The target populations for this study were mainly online retailers found in Addis Ababa and traditional wholesalers, supermarkets found in Addis Ababa & Hawassa cities were considered in the study. However, the existed online shopping sites in Addis Ababa were interviewed and the detailed analysis was made. The data collected by using questionnaires were analyzed using the SPSS software for the further solidification of the study. From the analyzed data; lack of infrastructure, absence of government policies and rules on e-commerce, absence of e-logistics, unavailability of payment methods, lack of interest, trust, security and awareness of both business owners and customers were basic barriers to adopt and implement e-commerce. At the end of this work based on the above influencing factors of e-commerce in Ethiopia and the review of benchmark e commerce adoption models from abroad, the new adoption model that fit with the current Ethiopian technological conditions was proposed. This proposed e-commerce adoption model was justified through the multinomial regression analysis of the variables of the model by using SPSS software. This thesis has important contributions for different groups of the community in Ethiopia, which planned to involve in the retailing business. The business owners and their customers are those whom supposed to be the first beneficiaries of this work. Since the study shows them the way to run their businesses using the modern technology by introducing the applicability of e-commerce
E-COMMERCE CHALLENGES AND THEORETICAL IMPLEMENTATION MODEL ADOPTION: CASES OF RETAILERS IN ADDIS ABABA & HAWASSA CITIES
(Hawassa University, 2021-12-17) AYENEW TSEGA ABATE
Retailing industries, enterprises and other businesses are operated globally with technologically advanced methods that can be mentioned in different names like e-commerce, online shopping, digital marketing and others. However, these business-running mechanisms are not even officially emerged in Ethiopia as it is expected due to many problems. The researcher identified these e commerce implementation barriers and proposed conceptual adoption frameworks that consider the Ethiopian infrastructures and other operational conditions. The data and necessary information for the study were obtained by using various scientific data collection mechanisms. These mechanisms include field observation, questionnaires, phone and face-to-face interviews. The target populations for this study were mainly online retailers found in Addis Ababa and traditional wholesalers, supermarkets found in Addis Ababa & Hawassa cities were considered in the study. However, the existed online shopping sites in Addis Ababa were interviewed and the detailed analysis was made. The data collected by using questionnaires were analyzed using the SPSS software for the further solidification of the study. From the analyzed data; lack of infrastructure, absence of government policies and rules on e-commerce, absence of e-logistics, unavailability of payment methods, lack of interest, trust, security and awareness of both business owners and customers were basic barriers to adopt and implement e-commerce. At the end of this work based on the above influencing factors of e-commerce in Ethiopia and the review of benchmark e commerce adoption models from abroad, the new adoption model that fit with the current Ethiopian technological conditions was proposed. This proposed e-commerce adoption model was justified through the multinomial regression analysis of the variables of the model by using SPSS software. This thesis has important contributions for different groups of the community in Ethiopia, which planned to involve in the retailing business. The business owners and their customers are those whom supposed to be the first beneficiaries of this work. Since the study shows them the way to run their businesses using the modern technology by introducing the applicability of e-commerce.
EVALUATING AND RANKING FACTORS AFFECTING OPERATIONS OF DRY PORT THROUGH DECISION MAKING MODEL: A CASE OF MODJO DRY PORT
(Hawassa University, 2021-11-06) SENATER ABERA MIDEKSA
Currently, there are a number of factors that affect dry port operations and these factors need to be identified systematically in order to evaluate significant factors that are highly constrained to their operations. In this regard, this study is aimed to identify the factors that affect the operations of MDP and ranking according to the level of significant impact from top to bottom by developing Analytical Hierarchical Process (AHP) model. A qualitative and quantitative method of research approach was employed and both primary and secondary data were collected. For primary data collection, the researcher used both probability and non probability sampling techniques in which the samples were selected by stratified and purposive sampling respectively from the target population of MDP. Meanwhile, secondary data was collected from published documents or databases such as books, journals, reports, official websites, etc. This work also examines the critical factors contributing to the success of MDP operations. Finding suggests that five main factors and nineteen sub-factors that affect the operations of MDP were identified. From the main factors, information systems are the dominant factor affecting MDP operations followed by service features, dry port capacity, government policy, and hinterland conditions, which took the last place. Furthermore, from the overall factors investigated in this study, lack of coordination between stakeholders and inadequate customs clearance process are the influential factors ranked as the 1st and 2nd level affecting the operations of MDP respectively. The implications of this finding suggested that managers should pay more attention to top-ranked factors and the significance of the research is expected to be of managerial value to dry port operators when eliminating high operational constraint factors to improve the efficiency of MDP operations.
EVALUATING AND RANKING FACTORS AFFECTING OPERATIONS OF DRY PORT THROUGH DECISION MAKING MODEL: A CASE OF MODJO DRY PORT
(Hawassa Unversity, 2021-10-27) SENATER ABERA MIDEKSA
Currently, there are a number of factors that affect dry port operations and these factors need to be identified systematically in order to evaluate significant factors that are highly constrained to their operations. In this regard, this study is aimed to identify the factors that affect the operations of MDP and ranking according to the level of significant impact from top to bottom by developing Analytical Hierarchical Process (AHP) model. A qualitative and quantitative method of research approach was employed and both primary and secondary data were collected. For primary data collection, the researcher used both probability and non probability sampling techniques in which the samples were selected by stratified and purposive sampling respectively from the target population of MDP. Meanwhile, secondary data was collected from published documents or databases such as books, journals, reports, official websites, etc. This work also examines the critical factors contributing to the success of MDP operations. Finding suggests that five main factors and nineteen sub-factors that affect the operations of MDP were identified. From the main factors, information systems are the dominant factor affecting MDP operations followed by service features, dry port capacity, government policy, and hinterland conditions, which took the last place. Furthermore, from the overall factors investigated in this study, lack of coordination between stakeholders and inadequate customs clearance process are the influential factors ranked as the 1st and 2nd level affecting the operations of MDP respectively. The implications of this finding suggested that managers should pay more attention to top-ranked factors and the significance of the research is expected to be of managerial value to dry port operators when eliminating high operational constraint factors to improve the efficiency of MDP operations.
FACILITY LAYOUT DESIGN TO EFFICIENT SPACE UTILIZATION AND INSPECTION PERFORMANCE: CASE OF MODJO DRY POR
(Hawassa University, 2018-10-17) BONDE ASSEFA SHULISHA
Ethiopia is landlocked country which uses the Ethio-Djibouti corridor the main outlet to the sea. However, this generates high demurrage cost at Djibouti port. To overcome these challenges, Ethiopian government established about eight dry ports in Ethiopia. From those, the Modjo dry port is large and 95 % of goods are flow through it. This makes congestion in the warehouse and terminal due to lack of suitable facility layout for inspection performance. So, this paper proposes an alternative facility layout design of warehouse. This done by using primary and secondary source of data which collected from warehouse managers, drivers, loading and unloading labors, customers of Modjo dry ports. However, the researcher use surveying, different journal, website and report from dry port as basic inputs for models to propose modified alternative layouts. The models used were classified in different levels regarding their compatibility to execute paper works as per requirement. Those were mathematical, Computer aided design model (AutoCAD) and simulation Model. The mathematical model was mainly used to calculate areas, volumes of existing and modified alternative layouts of the warehouse. The AutoCAD model was used to draw out the alternative facility layouts by feeding the input data collected from field survey by using Global Positioning System GPS and dimensions measured by using standard meter. The results of the study were validated by descriptive event simulation software which is known as any logic software. Finally, depending on the result of simulation, and model output of AutoCAD the alternative layouts were proposed. The capacity of space dedicated for existing warehouses could accommodate the 120 TEU. However, for the alternative layouts of I, II, III & IV are 564, 752, 556 & 796 TEU respectively. Depending on these results the alternative scenarios were proposed in order to mitigate the challenges facings to Modjo dry port. The contribution of this study is to realize the gaps of knowledge in using pallet racks for space utilization with aisle or passageway in the warehouse and point out the future research directions in facility layout design to efficient space utilization and inspection performance around the dry port area
FACILITY LAYOUT DESIGN TO EFFICIENT SPACE UTILIZATION AND INSPECTION PERFORMANCE: CASE OF MODJO DRY PORT
(Hawassa University, 2018-10-07) BONDE ASSEFA SHULISHA
Ethiopia is landlocked country which uses the Ethio-Djibouti corridor the main outlet to the sea. However, this generates high demurrage cost at Djibouti port. To overcome these challenges, Ethiopian government established about eight dry ports in Ethiopia. From those, the Modjo dry port is large and 95 % of goods are flow through it. This makes congestion in the warehouse and terminal due to lack of suitable facility layout for inspection performance. So, this paper proposes an alternative facility layout design of warehouse. This done by using primary and secondary source of data which collected from warehouse managers, drivers, loading and unloading labors, customers of Modjo dry ports. However, the researcher use surveying, different journal, website and report from dry port as basic inputs for models to propose modified alternative layouts. The models used were classified in different levels regarding their compatibility to execute paper works as per requirement. Those were mathematical, Computer aided design model (AutoCAD) and simulation Model. The mathematical model was mainly used to calculate areas, volumes of existing and modified alternative layouts of the warehouse. The AutoCAD model was used to draw out the alternative facility layouts by feeding the input data collected from field survey by using Global Positioning System GPS and dimensions measured by using standard meter. The results of the study were validated by descriptive event simulation software which is known as any logic software. Finally, depending on the result of simulation, and model output of AutoCAD the alternative layouts were proposed. The capacity of space dedicated for existing warehouses could accommodate the 120 TEU. However, for the alternative layouts of I, II, III & IV are 564, 752, 556 & 796 TEU respectively. Depending on these results the alternative scenarios were proposed in order to mitigate the challenges facings to Modjo dry port. The contribution of this study is to realize the gaps of knowledge in using pallet racks for space utilization with aisle or passageway in the warehouse and point out the future research directions in facility layout design to efficient space utilization and inspection performance around the dry port area
IMPROVING PERFORMANCE OF WAREHOUSE ORDER-PICKING PROCESS: A CASE OF ETHIOPIAN PHARMACEUTICAL SUPPLY AGENCY ARBAMINCH BRANCH
(Hawassa University, 2022-04-08) AMAN DEMELASH ALEMU
Researches in relation with improvement of order picking process are hard to find in countries like Ethiopia, as topics like this are overlooked. But studying on the improvement of order picking process is great for the field and looking at it in detail may bring changes in performances of warehouses, as it is necessary to look from the bottom to see the big picture or else looking only the big picture may not let us to know the root causes as needed. Being one of the most time consuming processes in the field of warehousing called, picking has the highest impact on the service level. In turn, from the warehouse activities picking is the most complex, labour intensive and costly. However, due to the customer demand fluctuation increased allocation strategy’s need to be reviewed and adjusted over time for the reasonable utilization of warehouse space. Since the main goal of this thesis is to improve performance of warehouse order-picking process in Case of Ethiopian Pharmaceutical Supply Agency Arbaminch branch. Under this, it assess the current states of order picking process in warehouses of the agency, identify the type of storage system, picking strategy and bottlenecks in the warehouse, identify variables to improve overall order-picking time and propose solutions using mathematical and analytical models. This research applied the DMAIC (Define-Measure-Analyze-Improve-Control) model to improve the order picking process in case company warehouse. The order pick delays affected customer satisfaction, DMAIC helped the researcher to define the pick problems, measure the current pick performance, and analyze the root causes. For the analysis of collected data Microsoft Excel, Cause and Effect analysis, Pareto Chart analysis and POM-QM software was used. The finding of this research indicates that the performance of order picking process was affected by long searching time and lack of product knowledge. This phenomenon was caused due to random storing arrangement in the warehouse and poor pickers’ educational background level. These top two problems were source of 80 % problem that cause delay in order picking process, so that they can forward for solution making. The researcher develops new assignment model formulation and propose conceptual framework as an improvement and control methods. The comparison result between before and after implementation of the storage assignment strategy indicates that there is a significant improvement in the order picking time, which was reduced by 34.4 minutes. Finally, the conclusion and recommendation were given
IMPROVING PERFORMANCE OF WAREHOUSE ORDER-PICKING PROCESS: A CASE OF ETHIOPIAN PHARMACEUTICAL SUPPLY AGENCY ARBAMINCH BRANCH
(Hawassa University, 2022-04-27) AMAN DEMELASH ALEMU
Researches in relation with improvement of order picking process are hard to find in countries like Ethiopia, as topics like this are overlooked. But studying on the improvement of order picking process is great for the field and looking at it in detail may bring changes in performances of warehouses, as it is necessary to look from the bottom to see the big picture or else looking only the big picture may not let us to know the root causes as needed. Being one of the most time consuming processes in the field of warehousing called, picking has the highest impact on the service level. In turn, from the warehouse activities picking is the most complex, labour intensive and costly. However, due to the customer demand fluctuation increased allocation strategy’s need to be reviewed and adjusted over time for the reasonable utilization of warehouse space. Since the main goal of this thesis is to improve performance of warehouse order-picking process in Case of Ethiopian Pharmaceutical Supply Agency Arbaminch branch. Under this, it assess the current states of order picking process in warehouses of the agency, identify the type of storage system, picking strategy and bottlenecks in the warehouse, identify variables to improve overall order-picking time and propose solutions using mathematical and analytical models. This research applied the DMAIC (Define-Measure-Analyze-Improve-Control) model to improve the order picking process in case company warehouse. The order pick delays affected customer satisfaction, DMAIC helped the researcher to define the pick problems, measure the current pick performance, and analyze the root causes. For the analysis of collected data Microsoft Excel, Cause and Effect analysis, Pareto Chart analysis and POM-QM software was used. The finding of this research indicates that the performance of order picking process was affected by long searching time and lack of product knowledge. This phenomenon was caused due to random storing arrangement in the warehouse and poor pickers’ educational background level. These top two problems were source of 80 % problem that cause delay in order picking process, so that they can forward for solution making. The researcher develops new assignment model formulation and propose conceptual framework as an improvement and control methods. The comparison result between before and after implementation of the storage assignment strategy indicates that there is a significant improvement in the order picking time, which was reduced by 34.4 minutes. Finally, the conclusion and recommendation were given
INBOUND SUPPLY CHAIN NETWORK DESIGN FOR COFFEE PROCESSING: ALEMAYHU YIRDAW COFFEE PROCESSING PLC
(Hawassa University, 2021-07-01) MILION BEKELE
Coffee is the most important export for the country, accounting for about 34 percent of the value of all exports in 2017/18. However, coffee farmers in producing area are operating at a loss due to selling at low prices to intermediaries who control the downstream channels. The correct transporting and processing of beans are a precondition for good quality coffee which might achieve a higher price. Drying in backyards without any equipment often compromises the quality. Therefore, to provide higher income to coffee farmers, effective integration of downstream operations is vital. This inbound supply chain network design should include the intermediate processes and transportation of coffee from primary market in each kebele to processing plant. The objectives of the thesis was to develop a mathematical model that selects the best supply and drying facility option for coffee product in the coffee processing industry; develop network design optimal cost of coffee drying facility and to identify and describe the key steps in the supply activity and coffee processing facility. In order to address the objectives of the research used questionnaire, interview, experiment and observation to collect data from different primary source of data. On the other hand, assessment of documents or reports of the transport cost, warehouse cost, and inventory cost, drying material cost and labor cost. The model is illustrated using a combination of real and simulated data from the coffee sector. To address the issues of limited plant capacity and increased delivery lead times, including a warehouse located closer to the plant is proposed. The selected options have an influence on the delivery lead time, because delivery lead times should not exceed that assured to processor, which impose restrictions in the model on delivery lead times for maintain the quality of coffee product. An alternative to improve the drying process has been the use of solar energy with solar dryers. Area limitation was used as a constraint in this optimization problem. The results of the optimization model indicated that the total production and transportation costs of the network can be reduced by 5.48% to 13.45%. And also the model selected greenhouse solar dryer facility for dry coffee parchment due to area limitation of the constraint which avoid congestion and mould formation for maintain the quality of coffee product
INBOUND SUPPLY CHAIN NETWORK DESIGN FOR COFFEE PROCESSING: ALEMAYHU YIRDAW COFFEE PROCESSING PLC.
(Hawassa University, 2021-04-07) MILION BEKELE
Coffee is the most important export for the country, accounting for about 34 percent of the value of all exports in 2017/18. However, coffee farmers in producing area are operating at a loss due to selling at low prices to intermediaries who control the downstream channels. The correct transporting and processing of beans are a precondition for good quality coffee which might achieve a higher price. Drying in backyards without any equipment often compromises the quality. Therefore, to provide higher income to coffee farmers, effective integration of downstream operations is vital. This inbound supply chain network design should include the intermediate processes and transportation of coffee from primary market in each kebele to processing plant. The objectives of the thesis was to develop a mathematical model that selects the best supply and drying facility option for coffee product in the coffee processing industry; develop network design optimal cost of coffee drying facility and to identify and describe the key steps in the supply activity and coffee processing facility. In order to address the objectives of the research used questionnaire, interview, experiment and observation to collect data from different primary source of data. On the other hand, assessment of documents or reports of the transport cost, warehouse cost, and inventory cost, drying material cost and labor cost. The model is illustrated using a combination of real and simulated data from the coffee sector. To address the issues of limited plant capacity and increased delivery lead times, including a warehouse located closer to the plant is proposed. The selected options have an influence on the delivery lead time, because delivery lead times should not exceed that assured to processor, which impose restrictions in the model on delivery lead times for maintain the quality of coffee product. An alternative to improve the drying process has been the use of solar energy with solar dryers. Area limitation was used as a constraint in this optimization problem. The results of the optimization model indicated that the total production and transportation costs of the network can be reduced by 5.48% to 13.45%. And also the model selected greenhouse solar dryer facility for dry coffee parchment due to area limitation of the constraint which avoid congestion and mould formation for maintain the quality of coffee product
INDICATING MATERIAL UTILIZATION IMPROVEMENT POTENTIAL IN LEATHER GOODS PRODUCTION THROUGH MIXED INTEGER LINEAR PROGRAMMING
(Hawassa University, 2023-10-20) AMDEWORK ZEMEDU YIRDAW
Among various inputs of leather articles production, leather is the major material dictating productivity and profitability of the company. So it should be utilized as efficiently as possible. The utilization level of leather material is determined by the operations carried out in cutting workstation of the production line. The goal of this study was to improve material utilization in leather goods production through optimization methods in Abrish leather articles manufacturing enterprise of Hawassa town. The current production system of the company was investigated through objective observation and interview tools applying work study techniques. The major product items were identified and their respective flow of production was analyzed to identify the causes of material wastage and also looking for opportunity doors to act improvements so as to achieve optimal material utilization. The identified major products of the company were categorized in two classes for grouped planning and production of items with respect to their component sizes and geometric shape for economic interlocking in cutting for minimal wastage. After categorization of products, a mixed integer linear programming model was formulated for determining the optimal number of products in each group for the realization of the maximum possible profit, considering tangible constraints of the business environment. The proposed system was analyzed to have 84.3% reduction potential of scrap generation and the achievable weekly profitability level had been calculated with the formulated model using POM-QM software. Proper implementation of the proposed system enables the company to make an estimated profit of 56,190.63 ETB per week or 2,921,912.76 ETB per annum