Simulation-based performance comparison between dynamic cells, classical cells and job shops: a case study

An entropy-based approach for assessing a product's BOM blocking effect on a manufacturing process flow

“…With business environments becoming more uncertain, unpredictable, and complex, companies are forced to cut costs while being more responsive to customers (Wadhwa 2008). This requires (1) a demand driven, product-oriented manufacturing (Drolet 2008), that is, a shift from mass production of highly standardised products to small-batch production of customised products (Hua 2008, Pires 2008; and (2) to develop/manufacture products at a high level of flexibility and quality, while minimising product complexity and production costs (Doering 2008). In practice, this product proliferation has made it difficult for companies to cost-effectively provide a large degree of product customisation in a mass production system (Shao 2008), a situation that also applies to the supply chain, where a high product variety decreases supply-chain performance (Thonemann 2002).…”

Designing group layout of unequal-area facilities in a dynamic cellular manufacturing system with variability in number and shape of cells

“…This type of a system is called the dynamic cellular manufacturing system (DCMS) (Rheault, Drolet, and Abdulnour 1995). Drolet, Marcoux, and Abdulnour (2008) developed a stochastic simulation model and indicated that DCMSs are generally more efficient than classical CMSs or job shop systems, especially with respect to performance measures, such as the throughput time, work-in-process, tardiness and the total marginal cost for a given horizon. Dimopoulos and Zalzala (2000) described that the design of manufacturing cells is implemented through a number of stages including: (1) job assignment selecting machines for each operation; (2) cell formation (CF) grouping machines into cells; (3) the layout of cells within the shop floor (inter-cell layout); (4) the layout of machines within cells (intra-cell layout [ICL]); and (5) transportation system design.…”

Analyzing the behaviors of virtual cells (VCs) and traditional manufacturing systems: Ant colony optimization (ACO)-based metamodels

“…Definition of multi-period CMS has been changed to dynamic cellular manufacturing systems (DCMSs) by some authors. Drolet et al [8] investigate the dynamic cells, classical cells, and job shops using simulation. Drolet et al [9] used another successful application of the DCMSs.…”