Modeling an e-based real-time quality control information system in distributed manufacturing shops

Mahdavi, Iraj; Shirazi, Babak; Cho, Namjae; Sahebjamnia, Navid; Ghobadi, Shahram

doi:10.1016/j.compind.2008.03.005

Cited by 17 publications

(11 citation statements)

References 19 publications

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“…Furthermore, distributed manufacturing allows for greater flexibility and resiliency (Sluga et al, 1998). Other benefits of DMS are: higher product quality, lower production costs, reduced risks (Kahn et al, 2004;Chan et al, 2005;Mahdavi et al, 2008). However, scheduling in DMS is more complicated than in a single production factory.…”

Section: Introductionmentioning

confidence: 99%

The Distributed Assembly Parallel Machine Scheduling Problem with eligibility constraints.

Hatami

Ruíz

Romano

2015

Int. J. Prod. Manag. Eng.

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In this paper we jointly consider several realistic scheduling extensions: First we study the distributed unrelated parallel machines problem where there is a set of identical factories with parallel machines in the production stage. Jobs have to be assigned to factories and to machines. Additionally, there is an assembly stage with a single assembly machine. Finished jobs at the manufacturing stage are assembled into final products in this second assembly stage. These two joint features are referred to as the Distributed Parallel Machine and Assembly Scheduling Problem or DPMASP. The objective is to minimize the makespan in the assembly stage. Due to technological constraints, machines cannot be idle and some jobs can be processed only in certain factories. We propose a mathematical model and two high-performing heuristics. The model is tested with two state-of-the-art solvers and, together with the heuristics, 2220 instances are solved in a comprehensive computational experience. Results show that the proposed model is able to solve moderately-sized instances, and that one of the heuristics is fast, giving optimal solutions close to optimum in less than half a second in the worst case.

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Section: Introductionmentioning

confidence: 99%

The Distributed Assembly Parallel Machine Scheduling Problem with eligibility constraints.

Hatami

Ruíz

Romano

2015

Int. J. Prod. Manag. Eng.

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show abstract

“…Studies and investigations (Rosenau, 1996;Wang, 1997) has proven that distributed manufacturing enables enterprises to achieve better product quality, lower production costs and reduced management risks. Studies show that the manufacturing costs (single location) are more costly than outsourced (multiple off-shore location) production (Mahdavi et al, 2008). For example, during the late 1980s, many Japanese manufacturers aggressively distributed shops into several Asian countries due to the sharp increase in domestic labor costs.…”

Section: Motivation For the Thesismentioning

confidence: 99%

“…These new structures are mostly geographically distributed, composed by several independent commercial partners or production centers with various machines and tools running in parallel so that each of them works with its own specialization and resources dedicated to specific functions in the product life cycle (Mishra and Shah, 2009;Chan and Chan, 2010;Mikos et al, 2011). As for the benefits of DMS we can mention higher product quality, lower production costs, reduced risks and offshore outsourcing (Wang, 1997;Kahn et al, 2004;Chan et al, 2005b;Mahdavi et al, 2008).…”

Section: Distributed Manufacturing Systemsmentioning

confidence: 99%

“…Furthermore, distributed manufacturing allows for greater flexibility and resiliency (Sluga et al, 1998). Other benefits of DMS are: higher product quality, lower production costs, reduced risks (Kahn et al, 2004;Chan et al, 2005b;Mahdavi et al, 2008). However, scheduling in DMS is more complicated than in a single production factory.…”

Section: Introductionmentioning

confidence: 99%

“…It is one of the effective approaches to improve the levels of flexibility, reconfigurability and productivity of the manufacturing systems and to remove the traditional manufacturing systems weakness and bottlenecks in order to meet the aforementioned challenges (Sluga et al (1998)). Different research results (e.g., Wang (1997); Kahn et al (2004);Chan et al (2005b); Mahdavi et al (2008)) have shown that DMS achieve better product quality, lower production costs and reduced management risks for the system. From the viewpoint of the manager, scheduling in DMS is more complicated than the scheduling of a single manufacturing factory.…”

Section: Introductionmentioning

confidence: 99%

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Modeling an e-based real-time quality control information system in distributed manufacturing shops

Cited by 17 publications

References 19 publications

The Distributed Assembly Parallel Machine Scheduling Problem with eligibility constraints.

The Distributed Assembly Parallel Machine Scheduling Problem with eligibility constraints.

The Distributed and Assembly Scheduling Problem

A digital twin-driven approach towards traceability and dynamic control for processing quality

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