Multiobjective decision making approach for determining alternate routing in a flexible manufacturing system

Gangan, Sameer; Khator, Suresh K.; Babu, A. J. G.

doi:10.1016/0360-8352(87)90062-3

Cited by 14 publications

(5 citation statements)

References 2 publications

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“…Goal programming (GP) is a technique capable of handling weights and priority factors for conflicting multiple objectives or goals (Steuer 1986, Agapiou 1992, Lee and Jung 1989, and Gangan et al 1987. Hence, a strategy based on goal programming would provide the most effective mean for process design and optimization.…”

Section: Literature Surveymentioning

confidence: 99%

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A multiple objective based strategy for process design of machining operations

El‐Gizawy¹,

El-Sayed²

2002

International Journal of Computer Integrated Manufacturing

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In this paper a general strategy for process design using nonlinear goal programming is developed and applied to machining operations. The developed strategy allows different priority levels for each objective. The resulting design and optimization problem can be solved using unconstrained nonlinear techniques with no need for linearization. Evaluation of the developed strategy was conducted using single pass machining operations. The study proved the effectiveness of the strategy in selecting the optimum process conditions under different production priorities. The developed strategy is also compared with a strategy based on a fuzzy nonlinear programming model. The fuzzy-based solution can be considered as the fuzzy alternative or the approximation of the multiple objective solution.

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Section: Literature Surveymentioning

confidence: 99%

“…Most development and applications of goal programming were directed to linear cases and decisionmaking applications (Steuer 1986, Lee and Jung 1989, and Gangan et al 1987. Owing to the high nonlinearity of manufacturing process models, few attempts were made previously to design these processes using goal programming.…”

Section: Literature Surveymentioning

confidence: 99%

A multiple objective based strategy for process design of machining operations

El‐Gizawy¹,

El-Sayed²

2002

International Journal of Computer Integrated Manufacturing

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“…Dean et al (1990) employed a goal-programmin g (GP) approach to modelling an FMS production-planning problem in the context of multi-objectives, such as production rate, 3515 FMS design model with multiple objectives machine utilization, throughpu t time, tool usage time and value of parts. Gangan et al (1987) also used the GP to determine the most e cient part routing in an FMS that satis® es multiple objectives of (1) meeting the forecasted demand, (2) minimizing material movements and (3) minimizing workload imbalance on all machines. Unlike the above research applying the GP to multi-objective FMS problems, Ro and Kim (1990) applied a simple lexicographically ordering comparison to a problem of identifying the most e cient process selection rule which could satisfy all multiple objectives, such as makespan, mean¯ow time, mean tardiness, maximum tardiness and system utilization.…”

Section: Issues On Fms Design and Control Problemsmentioning

confidence: 99%

FMS design model with multiple objectives using compromise programming

Park

Ho-Chang

Lee³

2001

International Journal of Production Research

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There has been a great change in manufacturing systems toward computer-controlled¯exible manufacturing systems (FMS). The design and operation of the FMS involve intricate and interconnected decisions that result in the maximum performance of the system. However, the design and operational decisions have been made separately in consideration of a single-system performance measure. This paper presents a method for simultaneously determining design and control parameters of an FMS with the multiple performance objectives via full-factorial design of experiments, regression analysis and compromise programming. For a numerical example, the SIMAN simulator models a hypothetical FMS with six workstations. Eight design and control parameters are simultaneously determined by compromising four performance measures that are formulated using regression analysis.

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“…These algorithms use a level of measure such as similarity (or dissimilarity) to determine homogenous classes. Gangen et al (1987) assumed that a piece part entering an FMS has different routes. The goal programming approach was used to model the problem of selecting a specific route.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of manufacturing cells for flexible environment considering alternative routeing

Gupta

1993

International Journal of Production Research

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In flexible manufacturing system (FMS), it is common that most machines are multi-purpose and are capable of performing more than one operation, which makes parts rerouteing possible. In addition, due to scheduling constraints, rerouteing is often desirable. Also, interruptions in production activity due to machines failure from time to time is a common problem, and that too requires parts rerouteing to meet the due-date requirements. Historically, machine grouping procedures do not consider alternative routeings that a part may undergo during the operational phase of the system. When a part is rerouted, it adversely affects the cell performance. The existing procedures for machine cells formation in cellular manufacturing have not taken these factors into consideration. In this research, a new heuristic procedure is developed which provides the flexibility of incorporating alternative routeings in the system's design phase itself. To illustrate the validity of this heuristic, a case exampleproblem is developed using a manufacturing planning software (MANUPLAN) from General Dynamics. The results confirmed that the proposed heuristic procedure outperforms other existing methods.

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Multiobjective decision making approach for determining alternate routing in a flexible manufacturing system

Cited by 14 publications

References 2 publications

A multiple objective based strategy for process design of machining operations

A multiple objective based strategy for process design of machining operations

FMS design model with multiple objectives using compromise programming

Design of manufacturing cells for flexible environment considering alternative routeing

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