Modeling and designing a cross dock warehouse considering space and retailer’s satisfaction

نوع: Type: thesis

مقطع: Segment: masters

عنوان: Title: Modeling and designing a cross dock warehouse considering space and retailer’s satisfaction

ارائه دهنده: Provider: Maryam Shoaee

اساتید راهنما: Supervisors: Dr. Parvaneh Samoui

اساتید مشاور: Advisory Professors:

اساتید ممتحن یا داور: Examining professors or referees: دکتر خیرخواه - دکتر خداکرمی

زمان و تاریخ ارائه: Time and date of presentation: November,18, 2020

مکان ارائه: Place of presentation:

چکیده: Abstract: Designing a warehouse entry system, layout, movement and removal of products from the warehouse is critical to maximizing productivity. The use of cross docking has become increasingly important to speed up warehouse operations. Cross docking is a distribution strategy that plays an important role in enhancing the efficiency of distribution networks and reducing customer response times. This Thesis, deals with the modeling and design of a cross dock warehouse. layout is defined as the allocation of warehouse floor locations to retailers and the purpose is to determine the allocation of warehouse floor locations to retailers in order to minimize the distance traveled in the warehouse and the vacant space of the warehouse and also maximizing the satisfaction of retailers by considering their shipping priorities. For each location, the percentage of priority of that location is determined by the retailer and the problem tries to increase the satisfaction percentage of retailers by considering these priorities. To solve the proposed problem, clusters of warehouse floor locations are considered. Each cluster is a group of several warehouse floor locations that are adjacent to each other and are placed one after the other and next to each other. The total distance traveled in the warehouse is also divided into two parts: the distance traveled during the picking up operation and the distance traveled during the transportation operation. The distance traveled during the picking up operation is defined by the distance between the receiving point to the first location of the cluster and the distance traveled during the transport operation is defined by the distance between the last location of the cluster and the carrying point. Picking up operations may also be divided into the picking up of various logistics units such as carton boxes and plastic boxes. This problem is solved in the small dimension by GAMZ software with two methods: Augmented epsilon-constraint and the weighted sum method. in the large dimension it is solved by MATLAB software with two meta-heuristic algorithms:NSGA-II and MOGWO. Taguchi method has been used to adjust the parameters and different indicators have been used to evaluate the results of the two algorithms. In most cases, the value of all the indicators used in the NSGA-II algorithm is better than the competing algorithm (MOGWO). Also in terms of problem solving time, NSGA-II algorithm is able to solve the problem in a shorter time. Key words: NSGA-II Algorithm, MOGWO, Augmented Epsilon Constraint, Weighted Sum, Cross Dock Warehouse, Layout

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