This paper presents the application of integrated mathematical programming approach for the design of cellular manufacturing. The proposed approach is carried out in two phases: The first phase concerning exceptional elements(EEs) in cell formation and th

This paper presents the application of integrated mathematical programming approach for the design of cellular manufacturing. The cores of the proposed approach are two phases; concurrently a dealing with exceptional elements(EEs) and cell formation and facilities layout design. A policy dealing with EEs considers minimizing the total costs of three important costs ; (1) intercellular transfer (2) machine duplication and (3) subcontracting. And important issue is the calculation of the number of machines needed by considering the maximum utilization of machines and the available capacity of a machine that can be transferred for intercell moving is an key. Facilities layout design is considered to reflect the real field data such as the operation sequence of the parts to be manufactured. quadratic. The model is formulated as mixed integer programming that is presented to find the optimal solution.

Most of eco-friendly agrifood processing enterprises in Korean rural area are small and medium-sized business. For this reason, it’s hard for eco-friendly agrifood processing enterprises to neither analyze business performance for efficient business management nor establish their own business plan for rational decision-making. Therefore it’s necessary to design effective mathematical programming model and to make practical application which can support rational management decisionmaking ensuring the stable business activity of eco-friendly agrifood processing enterprises. Accordingly this paper focuses on the designing and its application of multi-objective mathematical programming model using goal programming to support rational decision-making of eco-friendly agrifood processing enterprise. Hansalimanseongmachum Food Inc. which runs soy bean processing business making tofu based on regional-based soybean farms around Anseong City will be the specific case to apply multi-objective mathematical programming model in practice. And it will suggest measures to support rational management decisionmaking of other eco-friendly agrifood processing enterprises.

This study was performed to find the most desirable emission reduction for each mobile source pollutant and the optimal control strategy at a given level of expenditures in Pusan City in 2000 by using the interactive ε-constraint method developed by Chang-Hyo Lee and Hyung-Wook Kim, which is one of the mathematical programming models. The most desirable emission reduction is 7093 ton/year for particulate (TSP), 4871 ton/year for NOx, 5148 ton/year for HC and 36779 ton/year for CO. The optimal control strategy is as follows; 1. As to passenger car and taxi limiting VKT (vehicle kilometers travelled) in congested areas will be necessary. In addition to this, improving vehicle inspection program should be enforced. 2. As to small-gasoline bus, traffic adaptive control system will be necessary. 3. As to small-diesel bus, non-adjustable engine parameters will have to be applied. 4. As to heavy bus and heavy truck, catalytic trap oxidizer and limiting VKT in congested areas will be necessary. 5. As to motorcycle, 2-cycle motorcycles should be converted to 4-cycle motorcycles.