Analysis and optimisation of a logistic warehouse in the automotive industry

The automotive industry is one of the most competitive sectors, in which rigour, flexibility, quality and agility constitute the critical factors of success. Warehouse activities and their associated costs play a vital role in logistic functions. Their optimisation and performance assessment may result in substantial value gains for the company. This study was developed at Continental Mabor, with the purpose of developing a proposal to restructure and optimise the company’s warehouse. An analysis of the existing warehouse was carried out and the respective proposals were subsequently presented. The main goal of these proposals was to improve the efficiency of warehouse functions, reduce stock quantities and enhance the capacity to meet customer’s demand. A warehouse management system (WMS) was installed and a suitable bin management solution was defined. This system consisted of a basic WMS to support stock inventory and its location. In addition, this system envisaged warehouse performance and included elements such as the inventory management Key Performance Indicator (KPI) and warehouse productivity.info:eu-repo/semantics/publishedVersio

Supply chain management: An opportunity for metaheuristics

In today’s highly competitive and global marketplace the pressure on organizations to find new ways to create and deliver value to customers grows ever stronger. In the last two decades, logistics and supply chain has moved to the center stage. There has been a growing recognition that it is through an effective management of the logistics function and the supply chain that the goal of cost reduction and service enhancement can be achieved. The key to success in Supply Chain Management (SCM) require heavy emphasis on integration of activities, cooperation, coordination and information sharing throughout the entire supply chain, from suppliers to customers. To be able to respond to the challenge of integration there is the need of sophisticated decision support systems based on powerful mathematical models and solution techniques, together with the advances in information and communication technologies. The industry and the academia have become increasingly interested in SCM to be able to respond to the problems and issues posed by the changes in the logistics and supply chain. We present a brief discussion on the important issues in SCM. We then argue that metaheuristics can play an important role in solving complex supply chain related problems derived by the importance of designing and managing the entire supply chain as a single entity. We will focus specially on the Iterated Local Search, Tabu Search and Scatter Search as the ones, but not limited to, with great potential to be used on solving the SCM related problems. We will present briefly some successful applications.Supply chain management, metaheuristics, iterated local search, tabu search and scatter search

Determine planning method in the storage area

ABSTRACT Ji Yuan Hai Wan Shi Ye AB started in the December of 2011, is co-funded by the Xiamen Hai Wan AB and Luo Yang Shi Hua. It has integrated business such as scientific research, production and trade together. The company locates in the industrial manufactory area at Ji Yuan, Henan Province. The main products are verity of unsaturated polyester resin. Their products are widely used in the fields like industry, agricultural, transportation and construction. This shows its wide coverage status quo and broad future (Company´s website). Inventory is the network-node among goods flow, information flow and cash flow, and is of great importance to economic development nowadays. The rational management in transportation, packaging, loading/unloading, processing, delivery, can efficiently alleviate working strength, damage ratio, Inventory turnover and distribution costs. The storage area is not only the most important but also the most difficult part to plan. According to the statistics, unloading, picking, sorting and loading take 40% time of the whole process, and the rest are consumed by staff’s patrolling. As a result, a cost effective design in storage area can effectively lower down internal transportation cost, and highly improve the performance of the whole inventory. In order to increase the efficiency inside storage area, and create a best possible environment for material handlers in the inventory; this article intended to generate a directive description by studying the design inside storage area of the inventory. Based on the case study, author has raised a recommendation to the inventory´s equipment and slot planning. MATLAB is the main programming tool in the slot planning and it contains aspects below: 1, A brief introduction to company and their main activities. 2, Storage area planning and design theories: The definition, types, functions of storage area were introduced in the beginning. Then storage area and several ways of storage were briefly described. At last, author described the classical EIQ analysis and its applications in the logistics system. Page IV 3, Selection of equipment in storage area Author elaborated basic principles of the equipment choice; and introduced types, choice methods in storing and material handling equipment. Finally the EIQ analysis was applied and its influence in equipment choice was proved. 4, Planning and design of slots in the storage area This part mainly included following contents A. Coding The article began with methodology introduction for the coding of both location and goods, and the principles of choice methodology for different goods. B. Spacing plan and corresponding information Principles and concepts of location planning as well as corresponding benefits were introduced, which are the reasons of location planning. C. Modeling The author has presented the aim of the location planning; and according to that, a model has been introduced. There are two things has to be concerned, one is the total transporting distance for the goods and the other one is the stability of the racking. The aim of the location planning is to increase picking efficiency by storing the fastest-moving goods in the most convenient positions which is gate in this case. To increase racking ´s stability, lighter goods have to put in higher than heavier things. D. The algorithm Location planning is a multi-objective optimization problem. Author has analyzed and compared several algorithms; finally genetic algorithm was chosen to solve the problem. Author introduced the principles of the methodology about using genetic algorithm to solve a multi-objective optimization problem. After that, according to the model introduced in the previously step, author has decided to use parallel selection method, multi-Gender evolutionary method and constraint method. To get an optimal solution of location planning, MATLAB has been used as the tool. Page V 5, Applied and analyzed the methods and programs, mentioned in the article, to the design of inventory´s storage area. 6, Summary and prospect Author has summarized the article’s result and raised future research topics. This article has given some new points in the following aspect： 1．By thinking of velocity of goods circulation and goods weigh, a multi-objective optimization model for location planning has been made. Model has been solved, via using Genetic Algorithm’s paratactic selection, multi-gender evolution and constraint methods. 2．By using MATLAB, author programmed the location plan which generates solutions to optimization problems using techniques inspired by natural evolution. Programming has been used crossover, mutation methods and the algorithm terminated when the 500 generations has been produced, then a satisfactory fitness solution has been reached for the location

Intelligent Storage Location Allocation with Multiple Objectives for Flood Control Materials

Intelligent storage is an important element of intelligent logistics and a key development trend in modern warehousing and logistics. Based on the characteristics of flood control materials and their intelligent storage, this study established a flood control material storage location allocation model reflecting the multiple objectives of retrieval efficiency and shelf stability and used a weighting method to transform a multi-objective optimization problem into a single-objective optimization problem. We then used the facilities and equipment planning and storage location allocation in the intelligent storage area for provincial flood control materials at the Zhenjiang warehouse of the Jiangsu water conservancy and flood control material reserve center as a case study. Empirical analysis was performed and used the genetic algorithm and Matrix Laboratory (MATLAB) software to optimize the storage location allocation of provincial flood prevention supplies at this warehouse, and it achieved effective results