UTCC Scholarhttps://scholar.utcc.ac.thThe DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.Thu, 21 Jan 2021 12:16:12 GMT2021-01-21T12:16:12Z5021Determination and Analysis of Inventory Policies for Time-varying DemandProblem Applied on Continuous Probability Distributed Demandhttps://scholar.utcc.ac.th/handle/6626976254/527Title: Determination and Analysis of Inventory Policies for Time-varying DemandProblem Applied on Continuous Probability Distributed Demand
Authors: กาญจนา กาญจนสุนทร; Neawdong, M.; Yodsuwa, S.
Abstract: According to one of the most interested ofinventory management issue in industrial and logisticsmanagement in today competitive environment, the aim of thiswork is to develop a determination tools for inventoryparameters calculation and analyze the applicable of thoseparameters into various probability distributed demand. Thecalculation program incorporated in Microsoft Excel aredeveloped and a series of simulation experiments are alsoconducted using the developed program in order to comparethe total inventory relevant cost of these policies The studiesare conducted for different cases of inventory problem with 3-different probability distributions of demand and the obtainedresults are analyzed and concluded.The program are developed for comparing 8 inventorypolicies for discrete demand pattern comprising of AdaptationEOQ, Lot–For–Lot, Periodic Order Quantity, Wagner–Whitin, Silver–Meal Algorithm, Least Unit Cost, Part–Period,and Incumented Part–Period. Visual Basic Application (VBA)code, a part of Microsoft Excel, is constructed in order toreceive input data, to calculate the inventory policies andrelevant total cost and to display program outputs. Afterverified and validated, the program is implemented fordetermining inventory policies of various scenarios ofproblems, including uniform, normally, and discretedistributed demand pattern. The analysis resultsobtained from program can be concluded that the Wagner-Whitin Algorithm is the best way to provide the lowest total cost by determining the order quantity in all appropriate periods. However, when demand in the first period is equal to0, we found that the Silver Meal Algorithm may provide the better results than those of Wagner-Whitin. So, in those cases, total relevant cost of the two policies should be compared.
Fri, 01 Jan 2010 00:00:00 GMThttps://scholar.utcc.ac.th/handle/6626976254/5272010-01-01T00:00:00ZRETRACTED ARTICLE: Determination and analysis of inventory policies for timevarying demand problem applied on continuous probability distributed demandhttps://scholar.utcc.ac.th/handle/6626976254/3613Title: RETRACTED ARTICLE: Determination and analysis of inventory policies for timevarying demand problem applied on continuous probability distributed demand
Authors: กาญจนา กาญจนสุนทร; Neawdong, M.; Yodsuwa, S.
Abstract: According to one of the most interested of inventory management issue in industrial and logistics management in today competitive environment, the aim of this work is to develop a determination tools for inventory parameters calculation and analyze the applicable of those parameters into various probability distributed demand. The calculation program incorporated in Microsoft Excel are developed and a series of simulation experiments are also conducted using the developed program in orderto compare the total inventory relevant cost of these policies The studies are conducted for different cases of inventory problem with 3different probability distributions of demand and the obtained results are analyzed and concluded. The program are developed for comparing 8 inventory policies for discrete demand pattern comprising of Adaptation EOQ, LotForLot,Periodic Order Quantity, WagnerWhitin, SilverMealAlgorithm, Least Unit Cost, PartPeriod, and Incumented PartPeriod. Visual Basic Application (VBA) code, a part of Microsoft Excel, is constructed in order to receive input data, to calculate the inventory policies and relevant total cost and to display program outputs. After verified and validated, the program is implemented for determining inventory policies of various scenarios of problems, including uniform, normally, and discrete distributed demand pattern. The analysis results obtained from program can be concluded that the WagnerWhitinAlgorithm is the best way to provide the lowest total cost by determining the order quantity in all appropriate periods. However, when demand in the first period is equal to 0, we found that the Silver Meal Algorithm may provide the better results than those of WagnerWhitin. So, in those cases, total relevant cost of the two policies should be compared.
Fri, 01 Jan 2010 00:00:00 GMThttps://scholar.utcc.ac.th/handle/6626976254/36132010-01-01T00:00:00Z