Those obtained results indicate that the proposed cuckoo search algorithm is able to get better Pareto solutions (non-dominated set) for the supply chain problem. The summary of overall results obtained from all the experi-, the most minimum cost obtained is 4.38E+07 and the corre-, sponding conï¬guration will have 2 plants (2nd and 3rd), 1, CDC (3rd) and 3 RDCs (1st, 2nd, and 4th) opened to satisfy, The network conï¬guration with highest possible UFR (96 %), at minimum possible cost (6.33E+07) will have 2 plants (1st, and 3rd), 2 CDCs (2nd and 3rd), and 3 RDCs (2nd, 4th, and, 5th). I would like to bring to your attention an opportunity to publish your research in Computers and Industrial Engineering (JCR Q1, 2016; Impact Factor: 2.6) special issue on âNext Gen, This paper addresses a multi-periodic supply chain network design (SCND) problem involving suppliers, manufacturers, distribution centers (DCs), and customer zones (CZs). ogy to distribution network design and management. In such a, scenario, the traditional outbound logistics network happens, to be a redundant and outdated one. bound logistics network in any supply chain. Inter-relationships within the proposed multi-objective immune algorithm (MOIA) resemble antibody-antigen relationships in terms of specificity, germinal center, and the memory characteristics of adaptive immune responses. ods include Multi-objective Genetic Algorithm (MOGA), Niched Pareto Genetic Algorithm (NPGA), Non-dominated, Sorting Genetic Algorithm (NSGA), Strength Pareto Evo-, lutionary Algorithm (SPGA), Multi-objective Evolutionary, Algorithm (MOEA) etc. Consider the fact that your inbound logistics network brings in a steady supply of materials that roughly match your operational needs. The SLR has been carried out using two basic search databases Scopus and Web of Science. manufacturing plants) to the point of consumption (i.e. Increased sales are, of course, a major goal of inbound and outbound logistics. Logistics Company -Goals and Objectives. Vidal, C., & Goetschalckx, M. (1997). To reduce the cost of operations and maintain transparency. This emphasizes, the importance of a better designed and well balanced out-. The proposed distribution network for a manufacturing supply chain consists of a set of customer zones (CZs) at known locations with known demands being served by a … The computational results obtained for the various combi-, nations of populations and generations for data set 1 are listed. The other objectives of logistics management should be consistency in delivery performance; this will help build customer confidence for keeping a long-term relationship. The presence of mul-, tiple objectives in a problem usually giv, of nondominated or non-inferior solutions, largely known as, reto-optimal solutions, each objective component of any, solution along the Pareto-front can only be improved by. Further, sensitivity analysis shows that the proposed model is robust and sensitive to changes in maximum distance traveled by a farmer to reach a cluster center and number of hubs to be opened, respectively. it refers to a sin-, The model has multiple objectives: minimization of total, There will be three delivery channels: fast moving items, The fast moving items and slower moving items are sup-, Multi-sourcing is allowed i.e. A steady, state genetic algorithm for multi-product supply chain network, Amiri, A. Ces marchÃ©s sont effet en plein essor mais demandent des produits de grande diversitÃ©. This first step is the most important. proposed an improved version of NSGA called NSGA-II. LASH means . design and platform-based product development: A state-of-the-, Kauder, S., & Meyr, H. (2009). Outbound logistics is the process of storing, transporting and distributing goods to customers. more than one facility can, : index of Central Distribution Center (CDC) (, : index of Regional Distribution Center (RDC) (, : production capacity for fast moving item, : ï¬xed cost of opening and operating plant, : unit cost of producing and shipping item, : unit cost of handling and shipping item, ) deï¬nes the objective of minimizing the total, ) deï¬nes the maximization of another performance mea-, ) deï¬ne the constraints of non-negativity and binary, ). Also, we provide a real-world industrial case to demonstrate how the proposed model works. The company also makes direct deliveries of electric vehicles to customers. The needs are bet-, ter addressed and well served if and only if a right prod-, uct/service reaches a right customer, at right place, in right, time, in right quantity, in right quality, The onus of achieving all these deliverables rests with the, outbound logistics part of a supply chain. Among others, these measurements refer to transportation, warehouse and supply chain aspects. Retailers hold their suppliers to very stringent product delivery standards. The DSS is a software platform useful for the design, Supply chain network (SCN) design is a strategic issue which aims at selecting the best combination of a set of facilities to achieve an efficient and effective management of the supply chain. Logistics Coordinators are responsible for overseeing the flow of goods in a company. Hence, both backorders, as well as lost sales, are considered. objectives and actually encompasses logistics management. Required fields are marked *. This offers the ability to conduct early product design and development trade-off analysis among these competing objectives. tion/distribution system in supply chain. A real case study problem of Mandsaur District (India) of vegetable distribution is solved in LINGO 17.0 to check the validity of the formulated model. Nagesh, International Journal of Services and Operations Management. The proposed method, called hybrid-spanning, tree-based genetic algorithm (hst-GA), utilizes the PrÃ¼fer number, which is known to be an efficient way to represent various network problems. The decision variables, include number of plants, CDCs, RDCs, and quantities of, each variant of product delivered to CZs through a desig-, nated distribution channel. (, demands for the items to be satisï¬ed at different CZs is pro-, that can be opened to serve the demands of CZs in the pro-, values for the intended decision variables respectiv. Similarly the highest possible RU of 84, possible cost of 5.10E+07 will have a network conï¬guration, of 2 plants (1st and 4th), 2 CDCs (1st and 2nd), and 3 RDCs, a cost of 8.72E+07 and 9.71E+07 respectively, The similar computational results obtained for data set 2, A few sample conï¬gurations of the outbound logistics net-, work (OLN) obtained from the computational study for data, set 1 and data set 2 are pictorially presented in T, Furthermore, the graphical representations of computa-, The values in italic are the minimum and maximum costs of the outbound logistics network (, The results obtained in this study offer a wider scope for oper-, ations managers to explore and exploit them to the best pos-, sible advantage. Hence, to solve our multi-objective mathe-. The decision variables include number of plants, CDCs, RDCs, and quantities of each variant of product delivered to CZs through a designated distribution channel. However, to drive significant INBOUND LOGISTICS A LOGISTICS STRATEGY must … It's an ongoing challenge that requires deep logistics and network modeling expertise, as well as a comprehensive understanding of the many variables that shape an outbound distribution network. Logistics Management MCQ Questions and Answers Quiz. Properly transfer all materials requisitioned. Max, & Daskin, M. S. (2005). opening of the facilities in a single product three-stage supply chain network. All the three objectives are supposed to be optimized subject, constraints of ï¬ow of conservation between the facilities at, different echelons. The, algorithms which are used to generate non-dominated Pareto-. It can efficiently supports the decision making process of logistic managers and planners of large enterprises as multi-facilities companies and productionâdistribution networks. Location/strategic decisions are taken at the beginning of the time horizon and remain unchanged until the last period. The network design is affected and governed by four factors, expect to be served always with best possible quality at least, possible cost and at best possible levels of speed and ï¬exi-, network of a supply chain depends on how fast it is, how ï¬ex-, ible it is, and how efï¬cient it is in delivering quality products, to its customers. 2.1) Evaluate ï¬tness of each solution in the population, 2.3.1) Find non-dominated solutions in the current population, 2.3.2) Rank Pareto optimal front from among the nondominated solutions, 2.3.3) Apply Crowding Distance strategy to maintain diversity in the solutions, 2.3.4) Remove non-dominated solutions from the current front from further consideration, 2.4) Until all the solutions in the front are ranked, 2.5) Select solutions based on non-dominated rank for reproduction, 2.6) Apply genetic operators crossover and mutation to generate new solutions, 3) Until the termination conditions are satisï¬ed, Production capacities (in units) of plants, Slower moving items (from Plants to CDCs), Storage capacities (in units) of each facility, The results obtained and the corresponding graphs are elabo-.