This study provides a comparison and analysis of the predicted damages related to hazardous chemical substances used in “A” solar cell manufacturing process. In order to predict potential damages, different accident scenarios were established using the ALOHA model and the KOSHA guideline. This study evaluates chemical spills and leaks from cylinder and pipeline. Maximum distance of chemical movement, based on an initial concentration of 150 ppm, was estimated as up to 258 m in summer and 251 m in winter. The impacts of the leakage of chemicals such as ammonia, were dependent on the initial concentration of the chemical leaked, the atmospheric stability and temperature, and the wind speed. All of those however, were affected by air humidity.

A cell formation approach based on cluster analysis is developed for the configuration of manufacturing cells. Cell formation, which is to group machines and parts into machine cells and the associated part families, is implemented to add the flexibility and efficiency to manufacturing systems. In order to develop an efficient clustering procedure, this paper proposes a cluster analysis-based approach developed by incorporating and modifying two cluster analysis methods, a hierarchical clustering and a non-hierarchical clustering method. The objective of the proposed approach is to minimize intercellular movements and maximize the machine utilization within clusters. The proposed approach is tested on the cell formation problems and is compared with other well-known methodologies available in the literature. The result shows that the proposed approach is efficient enough to yield a good quality solution no matter what the difficulty of data sets is, ill or well-structured.

Manganese dioxide (MnO2) is one of the most important cathode materials used in both aqueous and non-aqueous batteries. The MnO2 polymorph that is used for lithium primary batteries is synthesized either by electrolytic (EMD-MnO2) or chemical methods (CMD-MnO2). Commonly, electrolytic manganese dioxide (EMD) is used as a cathode mixture material for dry-cell batteries, such as a alkaline batteries, zinc-carbon batteries, rechargeable alkaline batteries, etc. The characteristics of lithium/manganese-dioxide primary cells fabricated with EMD-MnO2 powders as cathode were compared as a function of the parameters of a manufacturing process. The flexible primary cells were prepared with EMD-MnO2, active carbon, and poly vinylidene fluoride (PVDF) binder (10 wt.%) coated on an Al foil substrate. A cathode sheet with micro-porous showed a higher discharge capacity than a cathode sheet compacted by a press process. As the amount of EMD-MnO2 increased, the electrical conductivity decreased and the electrical capacity increased. The cell subjected to heat-treatment at 200˚C for 1 hr showed a high discharge capacity. The flexible primary cell made using the optimum conditions showed a capacity and an average voltage of 220 mAh/g and 2.8 V, respectively, at 437.5μA.

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.