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- Academic and research outputs of the College of Agriculture.
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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
SUPPLY CHAIN ANALYSIS OF HANDMADE TEXTILE MANUFACTURING INDUSTRY USING SUPPLY CHAIN OPERATIONS REFERENCE(SCOR) MODEL: ACASE OF GAMO ZONE
(Hawassa University, 2022-10-27) AYGOTA AKA ADAMO
Supply chain management is a process of designing, developing, optimizing, and managing the
internaland external components of the supply system in a consistent manner with the
overallfirm‘s objectives and strategies. In today's businessenvironment, companies are operating
in supply chains to increase efficiency and truly meet the customers' demand. Because of
theimportance of supply chain management to compete in the current market, there is agrowing
need of supply chain operation improvement to improve its process efficiency and to meet the
customers’ requirements. This study aimed to analyze supply chain operation of handmade
textile manufacturing industry in Gamo Zone to improve its efficiency and satisfy customers’
needs. Surveying method of data collection using interview, questionnaire and observation was
used to collect the data. Both primary and secondary data were used to identify challenges and
gaps of the existing supply chain management. The study utilized Supply Chain Operations
Reference (SCOR) model to analyze the existing SC operations and to identify opportunities for
future improvement of the supply chain of the case industry. Based on the analysis of the
existing SC operation, the main challenges identified were high cost of sourcing due to
prolonged supply chain process, shortage of raw material and quality problem, low production
efficiency and capacity utilization, lack of modified weaving technologies, lack of appropriate
production schedule, poor order and delivery management and weak marketing system. Because
of these gaps of SC operation, the overall performance of supply chain of the case industry was
poor. Supply chain analysis to improve the efficiency of the case industry was performed based
on analysis of existing SC challenges and mapping future improvement on SC planning,
sourcing, production and delivery processes using SCOR model. This improvement on SC
operation can be achieved by changing source point to local potential suppliers of raw materials,
minimizing the number of non-value adding SC actors by linking weavers with suppliers and
consumers, using modified production technologies, strengthening direct market linkage with
final product users and establishing distribution center for weaving associations in urban areas.
This improvement action will minimize cost of sourcing and production, time of delivery, and
increase SC efficiency of the industry to meet customers’ demand
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.
PRODUCTIVITY ENHANCEMENT FOR JOB SHOP SCHEDULING PROBLEM USING GREY WOLF OPTIMIZATION (GWO) ALGORITHM: (CASE STUDY OF AKAKI BASIC METAL INDUSTRY)
(Hawassa University, 2023-10-22) BEZABIH GEBEYEHU YEDO
Ethiopian metal manufacturing industries are struggling with a long manufacturing cycle,
which results in lower efficiency. Because of issues with improper job allocation on the given
machines and machine failure, Akaki BMI has performed significantly worse than other
major metal industries in Ethiopia.
The necessary data was gathered from company reports and questionnaires in order to
investigate existing issues that impede industry productivity. The sample size considered is
107, of which 98 completed and returned the questionnaires on time, yielding a response rate
of approximately 91.6%. It was determined that the major issues affecting Akaki BMI's
productivity are related to machinery failure and scheduling. The industry employs a First
Come First Serve (FCFS) scheduling method. Thus, the main concern of this research was to
pinpoint the causes of the aforementioned problems and to look for different alternative
mechanisms/techniques to come up with the best solution.
The solution to scheduling problems is presented and analyzed using the LEKIN and
MATLAB software. From the study analysis, GWO based scheduling has better to increase
productivity by reducing the makespan, total flow time, total tardiness of the jobs and energy
consumption of each machine in the machine shop during both operation time and idle time .
Finally, the findings of the study using FCFS and GWO algorithms showed that the
makespan 385 & 225 minutes respectively, which is reduced by a 41.56% improvement,
total flow time 5010 & 3840 minutes respectively, which is reduced by a 23.35%
improvement, total tardiness 2778 & 1553 minutes respectively, which is reduced by a
44.1% improvement, total energy consumption during operation time of the machines shop
1314.53 & 883.9 kWh respectively, which is reduced by a 32.76% improvement, total energy
consumption during idle time of the machines 888.625 & 449 kWh respectively, which is
reduced by a 49.47% improvement, and the machine productivity could also be improved by
41.55% per machine/minutes improvement
MODELING POST HARVEST LOGISTICS OPERATION OF PEPPER: A CASE OF HALABA ZONE
(Hawassa University, 2021-10-28) BEREKET TADIWOS MENEDO
Logistics Optimization models have been used extensively for reducing logistics costs and
maximizing benefits. Those models are for enhancing the logistics chain. Post-harvest
logistics operations are for agricultural logistics activity after harvest. This thesis concerns
on agricultural sector post-harvest logistics operation of red pepper. The thesis was
conducted on one of the Ethiopian pepper-producing area called Halaba Zone. Taking
Halaba red pepper as a case study, the research attempted to analyze the existing logistics
practices and distribution process of Halaba red pepper, to optimize the pepper logistics
activities. Data were collected using a questionnaire, case study, observation, semi structured interview, and document analysis. The research uses SPSS software for
statistical data analysis, Minitab19 software for regression analysis, Excel spreadsheet for
Pareto analysis and Excel QM for LP transportation optimization model. The analysis of
existing supply chain management practices indicates the availability of poor practices
during logistics activities. The poor practices in logistics activities had a direct effect on
pepper price inflation. In order to show correlation between price of pepper and logistics
activities regression analysis conducted. The regression analysis result shows a positive
correlation between logistics activities cost and price of pepper. After regression analysis
Pareto analysis conducted taking four logistics activities costs as parameters. The need to
conduct Pareto analysis is to give priority for greater contributor of logistics cost. Based on
Pareto analysis transportation cost found as the greater contributor cost among logistics
activities. Therefore transportation model built .The built transportation model can save
18.5343% of 2019/20 transportation cost of Halaban pepper. This percentile means the
built model worth of saving were around 1,611,555 ETB. Based on this finding it‟s
possible to conclude that measures taken in logistics activities can give positive result in
minimizing price of pepper