Optimisation of sequencing and scheduling in hybrid flow shop environment using heuristic approach

Sridhar, S.; Prabaharan, T.; Saravanan, M.

doi:10.1504/ijleg.2010.037520

Cited by 5 publications

(4 citation statements)

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“…In manufacturing systems, since the scheduling problems are NP-hard, an efficient approach is required to get best results (Buil et al, 2010;Sridhar et al, 2010). Recently, a fuzzy logic approach has been widely applied to the scheduling problems for both conventional…”

Section: A Review Of the Literaturementioning

confidence: 99%

Development of a Fuzzy-Simulation Model of Scheduling Robotic Flexible Assembly Cells

Abd¹

2013

Journal of Computer Science

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Due to the complexity of scheduling flexible manufacturing systems, the generation of production schedules requires an intelligent technique. Many artificial intelligence techniques such as fuzzy logic, genetic algorithms and neural networks have been successfully applied to the scheduling of advanced manufacturing systems. One such system is Robotic Flexible Assembly Cells (RFACs). Few studies have addressed the problem of scheduling RFACs. The major limitation is that these studies are limited to the assembly of only one product type. The objective of this study is to propose a new intelligent model of scheduling RFACs in a multi-product assembly environment, using fuzzy logic.

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Section: A Review Of the Literaturementioning

confidence: 99%

Development of a Fuzzy-Simulation Model of Scheduling Robotic Flexible Assembly Cells

Abd¹

2013

Journal of Computer Science

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“…There are proposed in manufacturing industry and nonmanufacturing industry. The manufacturing industries are electronics industries (Wittrock, 1985(Wittrock, , 1988Liu & Chang 2000;Jin et al, 2002), Paper industry (Sherali, Sarin, & Kodialam, 1990), textile industry (Grabowski & Pempera, 2000) and stainless steel manufacturing (Sridhar, Prabaharan, & Saravanan, 2010). The non-manufacturing industries are also like civil engineering (Dror & Mullaserif, 1996), internet service architectures (Allahverdi & Al-Anzi, 2006) and container handling systems (Chen et al, 2007).…”

Section: Real World Scenario Problemsmentioning

confidence: 99%

“…This includes exact methods, heuristics and meta-heuristics. The simulated annealing algorithm proposed for five stage hybrid flow shop scheduling (Sridhar, Prabaharan, & Saravanan, 2010). This paper considered hybrid flow shop scheduling problem with missing operation.…”

Section: Real World Scenario Problemsmentioning

confidence: 99%

An Overview of Hybrid Flow Shop Scheduling

Saravanan¹,

Sridhar²

2012

International Journal of Green Computing

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This paper is survey of hybrid flow shop scheduling problems. An HFS scheduling problem is a classical flow-shop in which parallel machines are available to perform the same operation. Most real world scheduling problems are NP-hard in nature. The hybrid flow shop scheduling problems have received considerable research attention. The several optimization and heuristic solution procedures are available to solve a variety of hybrid flow shop scheduling problems. It discusses and reviews sustainability of several variants of the hybrid flow shop scheduling problem for economical analysis, each in turn considering different assumptions, constraints and objective functions. Sustainability is the long-term maintenance of responsibility, which analysis the economics and encompasses the concept of stewardship. The Hybrid flow shop problem has sustained for several decades with multi – objective constraints. The paper shows some fruitful directions for future research and opportunities in the area of hybrid flow shop.

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“…The dispatching rules, heuristics and branch and bound method considered for two-stage assembly shop with two independent machines in the first stage and two assembly identical machines in the second stage [10]. The SA algorithm proposed to optimize the company production sequence in real world multi-stage hybrid flow shop scheduling problems with missing operations [11]. The computational result shows that the SA algorithm yields good quality solution than existing company production sequence result.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Two-Stage Hybrid Flow Shop Scheduling Problems Using Genetic Algorithm

Saravanan¹,

Sridhar²,

Harikannan³

2015

AMM

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The two-stage Hybrid flow shop (HFS) scheduling is characterized n jobs m machines with two-stages in series. The essential complexities of the problem need to solve the hybrid flow shop scheduling using meta-heuristics. The paper addresses two-stage hybrid flow shop scheduling problems to minimize the makespan time with the batch size of 100 using Genetic Algorithm (GA) and Simulated Annealing algorithm (SA). The computational results observed that the GA algorithm is finding out good quality solutions than SA with lesser computational time.

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Optimisation of sequencing and scheduling in hybrid flow shop environment using heuristic approach

Cited by 5 publications

References 0 publications

Development of a Fuzzy-Simulation Model of Scheduling Robotic Flexible Assembly Cells

Development of a Fuzzy-Simulation Model of Scheduling Robotic Flexible Assembly Cells

An Overview of Hybrid Flow Shop Scheduling

Optimization of Two-Stage Hybrid Flow Shop Scheduling Problems Using Genetic Algorithm

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