Industrial Engineering and Logistic management

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Start date: 2021Subject: search.filters.subject.Order picking

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    ORDER PICKING PERFORMANCE IMPROVEMENT IN FAST MOVING GOODS DISTRIBUTION WAREHOUSE
    (Hawassa University, 2022-08-21) SAHLE MEKTA ZENEBE
    Warehouses are the areas where goods are stocked in the supply chain. All material handling activities, such as receiving, storage, order picking, accumulation, sorting and consolidation, and shipment of goods, are addressed by warehousing. Order-picking is the most resource-intensive activity in warehousing and it defines the level of service provided to consumers. So, it must be flawless and quick. Shorter order picking travel distance is one of the key performance measures for order picking. The goal of this study was to improve order picking performance through minimization of order picking travel distance in the ALLE Bejimla Hawassa branch. The current assignment of each good was known through direct recording. Following that, consumers' movements were tracked to know how items were picked from their storage. Using measuring tape, the dimensions of each bay and aisle were known, and the data was utilized to calculate order picking travel distance. Based on the multiplicative value of order frequency and minimum ordering weight, items are classified as high value, medium value and low value. Fourteen items have higher value of ordering frequency times weight. For first-class items, order picking travel distance was calculated for a single order and multiplied by order frequency. The Hungarian method and item popularity heuristics were then used to determine the best bay assignment for each item. According to the existing assignment 995.4 meters walking is required to pick most popular items per single order scheme. This distance is minimized to 617.2 meters, 788.7 meters, 805.7 meters and 766 meters using assignment model approach, optimal storage strategy approach, equal time storage strategy and equal space storage strategy respectively. Using monthly flow of items, the fractional volume was calculated. The number of restocks was also calculated for various storage strategies, and the optimal allocation strategy led to fewer restocks.
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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
  • No Thumbnail Available
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    ORDER PICKING PERFORMANCE IMPROVEMENT IN FAST MOVING GOODS DISTRIBUTION WAREHOUSE
    (Hawassa University, 2022-10-06) SAHLE MEKTA ZENEBE
    Warehouses are the areas where goods are stocked in the supply chain. All material handling activities, such as receiving, storage, order picking, accumulation, sorting and consolidation, and shipment of goods, are addressed by warehousing. Order-picking is the most resource-intensive activity in warehousing and it defines the level of service provided to consumers. So, it must be flawless and quick. Shorter order picking travel distance is one of the key performance measures for order picking. The goal of this study was to improve order picking performance through minimization of order picking travel distance in the ALLE Bejimla Hawassa branch. The current assignment of each good was known through direct recording. Following that, consumers' movements were tracked to know how items were picked from their storage. Using measuring tape, the dimensions of each bay and aisle were known, and the data was utilized to calculate order picking travel distance. Based on the multiplicative value of order frequency and minimum ordering weight, items are classified as high value, medium value and low value. Fourteen items have higher value of ordering frequency times weight. For first-class items, order picking travel distance was calculated for a single order and multiplied by order frequency. The Hungarian method and item popularity heuristics were then used to determine the best bay assignment for each item. According to the existing assignment 995.4 meters walking is required to pick most popular items per single order scheme. This distance is minimized to 617.2 meters, 788.7 meters, 805.7 meters and 766 meters using assignment model approach, optimal storage strategy approach, equal time storage strategy and equal space storage strategy respectively. Using monthly flow of items, the fractional volume was calculated. The number of restocks was also calculated for various storage strategies, and the optimal allocation strategy led to fewer restocks
  • No Thumbnail Available
    Item
    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