Industrial Engineering and Logistic management
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Item IT ADOPTION MODEL DEVELOPMENT FOR SUPPLY CHAIN MANAGEMENT: CASE OF ETHIOPIAN MANUFACTURING FIRMS(Hawassa University, 2018-10-22) TAMIRU TESSEMAIn the 21st century companies are required to continuously upgrade and improve their business activities in order to survive and achieve their business goal. One of the competition areas is an effective and efficient information flow along supply chain (SC). The information technology (IT) is one of the biggest enablers of the modern Supply Chain Management (SCM). However, SC systems in Ethiopian Medium and Large-Scale Manufacturing (MLSM) Firms found as fragmented SC, poor information exchanges, outdated systems and paper work. The purpose of this study is to examine IT adoption status and to develop its adoption model to Ethiopian MLSM firms. Cross-sectional survey was conducted on 438 samples from total 2,758 Ethiopian MLSM firms. Both a qualitative and quantitative data were collected using questionnaire survey, interview and document investigation, then descriptive and inferential statistical analysis were conducted by using Statistical Packages for Social Science (SPSS) version 21 and Microsoft office excel. The results indicated that the IT adoption status among Ethiopian MLSM firms was inadequate at all, despite good improvements in adopting some IT tools such as the Internet, Intranet and Barcode Scanner. The result also shows positive and strong correlation between the role of IT adoption and SC performance with correlation coefficient r = 0.824, even though a weakness to accept sophisticated IT tools, such as ERP, EDI, RFID, etc. The study suggests firms to exploit CSFs and reduce associated challenges to adopt IT, government to support these firms by policies, infrastructure, subsidies, incentives and training and universities to focus on producing IT skilled professionals. Finally, study proposes a model of IT adoption for Ethiopian MLSM firms to enhance their competitive advantage and improve firms’ performanceItem SUPPLY CHAIN PERFORMANCE EVALUATION AND MODELING: CASE OF SIDAMA COFFEE FARMERS‟ COOPERATIVE UNION(Hawassa University, 2019-10-22) GASSA MAGARA MAMOThis thesis aims to propose a supply chain (SC) performance evaluation model in the coffee processing industries: Case of Sidama coffee farmers’ cooperative union (SCFCU). Coffee is a major agricultural export commodity of Ethiopia, particularly the Sidama Zone, which has a high potential for specialty coffee. From Sidama Zone, SCFCU has major contribution supplying coffee product to domestic and export market unifying 61 coffee farmers’ cooperatives and being the second-largest union in the country. However, the primary coffee farmers’ cooperatives are facing enormous challenges at the current time in sourcing methods and production processes decreasing SC performance associated with quality of raw material and costly production making them unable to be a competitive and unprofitable business. They have no suitable SC performance evaluation model, standardized business operation process and methods that can improve their inter-organization and SC performance in a sustainable way. To solve these problems, the thesis study on SC performance evaluation and modeling was conducted. To achieve the study goal, investigation and reviewing of an appropriate SC performance evaluation model were carried out to have comprehensive knowledge. From several SC performance evaluation models, the SCOR model is identified as an appropriate SC evaluation model being dynamic, balanced and universal model. Significance of the study, using the SCOR model is believed to give an insight for the primary coffee farmers’ cooperatives as well as other concerned bodies about the existing challenges of coffee processing industries SC suggesting possible solutions to the problems and enabling them to improve SC performance. Because SCOR model designated to analyze SC performance and optimize the various processes in SC and it can play an important role in identifying problem-solving ways being starting points to find better ways to improve SC performance, in coffee processing industries making them more optimal and sustainable performance improvement. To achieve the study goal, a descriptive research design was employed and 13 cooperatives were selected unified in SCFCU from Sidama Zone in five Woreda within three clusters from the total population 182, the sample size was 125 respondents using Yamane sample size decision model and random sampling system. The primary data were collected using semi-structured questionnaires, interviews and field observation. Secondary data were collected from different published and unpublished sources. Data analysis was on the basis of qualitative and quantitative research approaches. The result was a high performance of reliability and responsiveness, the poor performance of Plan and Source process having moderate overall SC performance. Using the study result, SC modeling was made considering suitability for coffee processing industries. Finally, from data analysis and result discussions, conclusions were drawn and recommendations made on gapsItem FACILITY LAYOUT DESIGN TO EFFICIENT SPACE UTILIZATION AND INSPECTION PERFORMANCE: CASE OF MODJO DRY POR(Hawassa University, 2018-10-17) BONDE ASSEFA SHULISHAEthiopia 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 areaItem DISCRETE EVENT SIMULATION BASED OPERATIONAL PERFORMANCE ANAYLSIS OF MODJO DRY PORT, OROMIA, ETHIOPIA(Hawassa University, 2018-10-22) MAHMUD ABDURAHMANContainer 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 operationsItem IT ADOPTION MODEL DEVELOPMENT FOR SUPPLY CHAIN MANAGEMENT: CASE OF ETHIOPIAN MANUFACTURING FIRMS(Hawassa University, 2018-02-06) TAMIRU TESSEMAIn the 21st century companies are required to continuously upgrade and improve their business activities in order to survive and achieve their business goal. One of the competition areas is an effective and efficient information flow along supply chain (SC). The information technology (IT) is one of the biggest enablers of the modern Supply Chain Management (SCM). However, SC systems in Ethiopian Medium and Large-Scale Manufacturing (MLSM) Firms found as fragmented SC, poor information exchanges, outdated systems and paper work. The purpose of this study is to examine IT adoption status and to develop its adoption model to Ethiopian MLSM firms. Cross-sectional survey was conducted on 438 samples from total 2,758 Ethiopian MLSM firms. Both a qualitative and quantitative data were collected using questionnaire survey, interview and document investigation, then descriptive and inferential statistical analysis were conducted by using Statistical Packages for Social Science (SPSS) version 21 and Microsoft office excel. The results indicated that the IT adoption status among Ethiopian MLSM firms was inadequate at all, despite good improvements in adopting some IT tools such as the Internet, Intranet and Barcode Scanner. The result also shows positive and strong correlation between the role of IT adoption and SC performance with correlation coefficient r = 0.824, even though a weakness to accept sophisticated IT tools, such as ERP, EDI, RFID, etc. The study suggests firms to exploit CSFs and reduce associated challenges to adopt IT, government to support these firms by policies, infrastructure, subsidies, incentives and training and universities to focus on producing IT skilled professionals. Finally, study proposes a model of IT adoption for Ethiopian MLSM firms to enhance their competitive advantage and improve firms’ performanceItem SUPPLY CHAIN PERFORMANCE EVALUATION AND MODELING: CASE OF SIDAMA COFFEE FARMERS‟ COOPERATIVE UNION(Hawassa University, 2019-10-06) GASSA MAGARA MAMOThis thesis aims to propose a supply chain (SC) performance evaluation model in the coffee processing industries: Case of Sidama coffee farmers’ cooperative union (SCFCU). Coffee is a major agricultural export commodity of Ethiopia, particularly the Sidama Zone, which has a high potential for specialty coffee. From Sidama Zone, SCFCU has major contribution supplying coffee product to domestic and export market unifying 61 coffee farmers’ cooperatives and being the second-largest union in the country. However, the primary coffee farmers’ cooperatives are facing enormous challenges at the current time in sourcing methods and production processes decreasing SC performance associated with quality of raw material and costly production making them unable to be a competitive and unprofitable business. They have no suitable SC performance evaluation model, standardized business operation process and methods that can improve their inter-organization and SC performance in a sustainable way. To solve these problems, the thesis study on SC performance evaluation and modeling was conducted. To achieve the study goal, investigation and reviewing of an appropriate SC performance evaluation model were carried out to have comprehensive knowledge. From several SC performance evaluation models, the SCOR model is identified as an appropriate SC evaluation model being dynamic, balanced and universal model. Significance of the study, using the SCOR model is believed to give an insight for the primary coffee farmers’ cooperatives as well as other concerned bodies about the existing challenges of coffee processing industries SC suggesting possible solutions to the problems and enabling them to improve SC performance. Because SCOR model designated to analyze SC performance and optimize the various processes in SC and it can play an important role in identifying problem-solving ways being starting points to find better ways to improve SC performance, in coffee processing industries making them more optimal and sustainable performance improvement. To achieve the study goal, a descriptive research design was employed and 13 cooperatives were selected unified in SCFCU from Sidama Zone in five Woreda within three clusters from the total population 182, the sample size was 125 respondents using Yamane sample size decision model and random sampling system. The primary data were collected using semi-structured questionnaires, interviews and field observation. Secondary data were collected from different published and unpublished sources. Data analysis was on the basis of qualitative and quantitative research approaches. The result was a high performance of reliability and responsiveness, the poor performance of Plan and Source process having moderate overall SC performance. Using the study result, SC modeling was made considering suitability for coffee processing industries. Finally, from data analysis and result discussions, conclusions were drawn and recommendations made on gapsItem FACILITY LAYOUT DESIGN TO EFFICIENT SPACE UTILIZATION AND INSPECTION PERFORMANCE: CASE OF MODJO DRY PORT(Hawassa University, 2018-10-07) BONDE ASSEFA SHULISHAEthiopia 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 areaItem DISCRETE EVENT SIMULATION BASED OPERATIONAL PERFORMANCE ANAYLSIS OF MODJO DRY PORT, OROMIA, ETHIOPIA(Hawassa University, 2018-04-08) MAHMUD ABDURAHMANContainer 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
