Facility Planning and Associated Problems: A Survey

In this study, we have classified and reviewed different types of problems which are related to facility planning and layout design for different types of manufacturing processes. The main problems which are related to location of  facilities which also affects the system performance  such as distribution of man, material and machine in a plant or a factory and their optimization technique while using of mathematical models, their solutions and application related to whole problems is presented. For solving this type of problems, intelligent techniques such as expert systems, fuzzy logic and neutral networks have been used. In this paper the recent analysis on facility layout is incorporated and facility layout problem is surveyed. Many intelligent techniques and conventional algorithms for solving FLP are presented. In our discussion different research direction, general remarks and tendencies have been mentioned Keywords—Facility Planning, Material handling Optimization metho

A Multi-objective Evolutionary Optimization Approach for an Integrated Location-Inventory Distribution Network Problem under Vendor-Managed Inventory Systems

[[abstract]]In this paper, we propose an integrated model to incorporate inventory control decisions—such as economic order quantity, safety stock and inventory replenishment decisions—into typical facility location models, which are used to solve the distribution network design problem. A simultaneous model is developed considering a stochastic demand, modeling also the risk poling phenomenon. Multi-objective decision analysis is adopted to allow use of a performance measurement system that includes cost, customer service levels (fill rates), and flexibility (responsive level). This measurement system provides more comprehensive measurement of supply chain system performance than do traditional, single measure approaches. A multi-objective location-inventory model which permits a comprehensive trade-off evaluation for multi-objective optimization is initially presented. More specifically, a multiobjective evolutionary algorithm is developed to determine the optimal facility location portfolio and inventory control parameters in order to reach best compromise of these conflicting criteria. An experimental study using practical data was then illustrated for the possibility of the proposed approach. Computational results have presented promising solutions in solving a practical-size problem with 50 buyers and 15 potential DCs and proved to be an innovative and efficient approach for so called difficult-to-solve problems.[[incitationindex]]SCI[[booktype]]紙本[[booktype]]電子

Vendor location problem

Ankara : The Department of Industrial Engineering and the Institute of Engineering and Science of Bilkent University, 2009.Thesis (Master's) -- Bilkent University, 2009.Includes bibliographical references leaves 45-46.In this study, we aim to design a distribution system with the following components: the location of vendors, the number of vendors, the service region of the vendors, the number of vehicles and workers, and the assignment of demand points to these vendors and vehicles. We define our problem as a two-level capacitated discrete facility location problem with minimum profit constraints and call it Vendor Location Problem. In order to formulate the problem, two different objective functions are used: vendors’s profit maximization and maximization of the demand covered. Integer linear programs for these two versions of the problem are formulated. Valid inequalities are used to strengthen the upper bounds. Finally, the performance of these models with different parameters are compared in terms of linear programming relaxation gap, optimality gap, CPU time, and the number of opened nodes for four different types of instances: instances with demand and profit which are independent of distance; profit function of distance; demand function of distance; demand and profit function of distance.Çınar, YüceM.S

A Facility Location-Allocation Model for Determining Number of Depot to Distribute Material in the Rattan Furniture Industry by Considering Dynamic Demand

This paper is a study of a facility location-allocation problem in the rattan furniture industry. There are six production centers (PCs) of rattan furniture in Surakarta and its surroundings. However, their export sales are decline due to some possible problems in raw rattan distribution network from the sources centers (SCs), e.g. Borneo and Celebes Island to production centers. In the previous research, the model was expanded to support local government decide to determine optimal number of depot by consider static demand. This policy is aimed to cut the distribution channel and reduce total supply chain costs. Due to changing of global market, the demand is fluctuate. The previous model cannot anticipate this situation; consequently the local government needs a facility location-allocation model by considering dynamic demand. The objective of this research is to develop a model for supporting the local government to decide optimal number of depot by considers dynamic demand. A mixed integer non-linear programming (MINLP) was proposed to minimize total supply chain costs. The proposed model assumed that the demand for multiple products is known in advance. The potential raw rattan depot and source locations as well as their maximum capacities are also known. Finally, the proposed model can be used as instrument decision making to determine facility location-allocation. Keywords: dynamic demand, a facility location-allocation model, rattan industry competitiveness, total supply chain costs

The economic and environmental performance of distribution networks: A case study from the petrochemical industry

Designing a company's distribution network is a challenging task that requires the consideration of different aspects. In this respect, especially trade-offs between, for example, operational costs and customer service are the focus of the companies' attention. However, growing concerns of governments and customers about environmental protection have raised awareness towards the environmental impact of operations. Activities associated with the distribution of products, i.e. transportation and warehousing, are not yet subject to strict environmental regulations, but this situation is expected to change soon. Companies must, therefore, start to concentrate not only on economic but also on environmental aspects in the design of their supply chain. Based on a case study from the petrochemical industry, this paper presents a way to combine both, economic as well as environmental criteria, when evaluating (strategic) distribution network design decisions. The results show a trade-off between total (distribution) costs and transport carbon emissions. (author's abstract

Facility location, capacity acquisition and technology selection models for manufacturing strategy planning

Ankara : The Institute of Engineering and Science, Bilkent Univ., 1993.Thesis (Ph.D.) -- Bilkent University, 1993.Includes bibliographical references leaves 129-141.The primary aim of this dissertation research is to contribute to the manufacturing strategy planning process. The firm is perceived as a value chain which can be represented by a production-distribution network. Structural decisions regarding the value chain of a firm are the means to implement the firm’s manufacturing strategy. Thus, development of analytical methods to aid the design of production-distribution sytems constitutes the essence of this study. The differentiating features of the manufacturing strategy planning process within the multinational companies are especially taken into account due to the significance of the globalization in product, factor, and capital markets. A review of the state-of-the-art in production-distribution system design reveals that although the evaluation of strategy alternatives received much attention, the existing analytical methods are lacking the capability to produce manufacturing strategy options. Further, it is shown that the facility location, capacity acquisition, and technology selection decisions have been dealt with separately in the literature. Whereas, the interdependencies among these structural decisions are pronounced within the international context, and hence global manufacturing strategy planning requires their simultaneous optimization. Thus, an analytical method is developed for the integration of the facility location and sizing decisions in producing a single commodity. Then, presence of product-dedicated technology alternatives in acquiring the required production capacity at each facility is incorporated. The analytical method is further extended to the multicommodity problem where product- flexible technology is also available as a technology alternative. Not only the arising models facilitate analysis of the trade-offs associated with the scale and scope economies in capacity/technology acquisition on the basis of alternative facility locations, but they also provide valuable insights regarding the presence of some dominance properties in manufacturing strategy design.Verter, VedatPh.D

An integrated model for cash transfer system design problem

This paper presents an integrated model that incorporates strategic, tactical, and operational decisions for a cash transfer management system of a bank. The aim of the model is to decide on the location of cash management centers, number and routes of vehicles, and the cash inventory management policies to minimize the cost of owning and operating a cash transfer system while maintaining a pre-defined service level. Owing to the difficulty of finding optimal decisions in such integrated models, an iterative solution approach is proposed in which strategic, tactical, and operational problems are solved separately via a feedback mechanism. Numerical results show that such an approach is quite effective in reaching greatly improved solutions with just a few iterations, making it a promising approach for similar integrated models