this paper is in search of designing the cellular manufacturing systems (cmss) under dynamic and flexible environment. cm is proper for small-to-medium lot production environment that helps the companies to produce variable kind of productions with at least scraps. the most important benefits of cm are decline in material handling, reduction in work-in-process, reduction in set-up time, increme...

This paper describes a modeling framework for product design that facilitates the incorporation of both engineering and strategic considerations at the design stage. We rst develop an abstract representation of a generic product, an AND/OR tree, that is context-independent and can be used to model a wide variety of products in di erent application settings. We show how this representation leads...

In today’s competitive market place, companies seek an efficient structure of supply chain so as to provide customers with highest value and achieve competitive advantage. This requires a broader perspective than just the borders of an individual company during a supply chain. This paper investigates an aggregate production planning problem integrated with distribution issues in a supply chain ...

Here, we consider single vendor-buyer model with multi-product and multi-customer and multi-facility location-production-distribution problem. It is assumed that the players of the supply chain are coordinated by sharing information. Vendor manufactures produce different products at different plants with limited capacities and then distribute the products to the consumers according to determini...

this paper presents a framework for long term transmission expansion planning in competitive, electricity markets. transmission lines and phase shifters are taken into account as expansion options. maximization of the network users' benefits, with satisfying security constraints are considered as the criterion for transmission expansion planning. the elements of the objective function are the...

In this paper we develop an algorithm to optimise a nonlinear utility function of multiple objectives over the integer efficient set. Our approach is based on identifying and updating bounds on the individual objectives as well as the optimal utility value. This is done using already known solutions, linear programming relaxations, utility function inversion, and integer programming. We develop...