Cellular manufacturing (CM) is an important application of group technology (GT), a manufacturing philosophy in which parts are grouped into part families, and machines are allocated into machine cells to take advantage of the similarities among parts in manufacturing. The target is to minimize inter-cellular movements. Inspired by the rational behind the so called grouping genetic algorithm (G...

Scheduling problem in a cellular manufacturing environment is treated as group scheduling problem, which assumes that all parts in a part family are processed in the same cell and no inter-cellular transfer is needed. In a typical CMS environment, however, there could be some exceptional parts, which need to visit machines in the other cells. This fact limits the applicability of group scheduli...

In manufacturing systems, different types of disturbances influence system’s performance, cellular manufacturing has been proposed as an approach to cope with the uncertainty characteristic of customer driven markets. However, even cellular manufacturing systems are prone to the effects of varying demand patterns. In this study, the effects of some aspects related to demand variation such as th...

Manufacturing industries are under intense pressure from the increasingly competitive global marketplace. Shorter product lifecycle, time to market and diverse customer needs have challenged manufacturers to improve the efficiency and productivity of their production activities. Manufacturing systems should be able to adjust or respond quickly to adopt necessary changes in product design and pr...

In this paper, a mixed-integer linearized programming (MINLP) model is presented to design a group layout (GL) of a cellular manufacturing system (CMS) in a dynamic environment with considering production planning (PP) decisions. This model incorporates with an extensive coverage of important manufacturing features used in the design of CMSs. There are also some features that make the presented...

As computational systems scale to arbitrarily large sizes, and as they are expected to function reliably for arbitrary lengths of time, there are certain realities of the physical world that can not be ignored in the design and modeling of computational systems. For example, considerations for the delivery of power and removal of heat seem to limit the system to a two-dimensional surface. Addit...