A particle swarm optimization for the single row facility layout problem

Samarghandi, Hamed; Taabayan, Pouria; Jahantigh, Farzad Firouzi

doi:10.1016/j.cie.2009.11.015

Cited by 105 publications

(19 citation statements)

References 23 publications

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“…It can be observed from Table 1 that the SA algorithm was able to obtain the optimal solution for small-size SRLP in nearly each run (out of 50 runs). As it can be noted from Table 1 that the proposed SA method was able to obtain the best solution in a reasonable number of function evaluations compared with the GA proposed by Datta, Amaral and Figuiera (2011) and particle swam optimisation (PSO) of Samarghandi, Taabayan and Jahantigh (2010) for SRLP. Solimanpur, Vrat and Shankar (2005) stated that the computational time should not be considered for comparing the performance of different algorithms as the computed machines are different.…”

Section: Computational Resultsmentioning

confidence: 91%

“…Table 1 shows these problems with the corresponding average transportation cost function and the best-known optimal solution obtained by previous works (Datta, Amaral, and Figuiera 2011;Amaral 2009;Samarghandi, Taabayan, and Jahantigh 2010;Samarghandi and Eshghi 2010). Table 1 shows these problems with the corresponding average transportation cost function and the best-known optimal solution obtained by previous works (Datta, Amaral, and Figuiera 2011;Amaral 2009;Samarghandi, Taabayan, and Jahantigh 2010;Samarghandi and Eshghi 2010).…”

Section: Computational Resultsmentioning

confidence: 99%

“…Samarghandi and Eshghi (2010) developed a TS for SRLP. A particle swarm optimisation was developed by Samarghandi, Taabayan and Jahantigh (2010) for the SRLP. Solimanpur, Vrat and Shankar (2005) solved the SRLP using ant colony system.…”

Section: Literature Reviewmentioning

confidence: 99%

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Single and multi-row layout design for flexible manufacturing systems

Tubaileh

Siam

2017

International Journal of Computer Integrated Manufacturing

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In this paper, machines are allocated in horizontal rows along sides of an automated guided vehicle path so that the total cost of material transportation between machines is optimised. The problems of locating machines in single, double and multi-row layouts are addressed. Different layout arrangements as well as random permutations of machines are obtained using a simple construction algorithm, then the search for optimal solution and the best machine arrangements is obtained by implementing both Ant Colony and Simulated Annealing algorithms. Computational test examples show that the proposed method provides the best-known solutions for the single-row and double-row layout problems. Furthermore, experimental results demonstrate that both algorithms provide identical solutions for the single and multi-row layout problems.

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Section: Computational Resultsmentioning

confidence: 91%

Section: Computational Resultsmentioning

confidence: 99%

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Single and multi-row layout design for flexible manufacturing systems

Tubaileh

Siam

2017

International Journal of Computer Integrated Manufacturing

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“…The boundary constraints in some applications may be specified as a single row of modules of constant width [36,37], as multiple rows [38], or as a rectangle [39]. In contrast, numerous FLP applications do not impose any boundary constraint and permit a layout design in an open space [1,[10][11][12][13][14]40].…”

Section: Literature Surveymentioning

confidence: 99%

A Hybrid Algorithm for Optimising Facility Layout

Tasadduq

Imam

Ahmad

2015

The South African Journal of Industrial Engineering

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“…The enclosing area constraint may be imposed to obtain the optimal layouts with a given rectangular, a single row (Samarghandi, 2010;Anjos, 2009), or multiple rows (Ficko, 2010). On the other hand, facility layout problems with open space (Mir, 2001) do not impose any constraint on the enclosing area.…”

Section: Introductionmentioning

confidence: 99%

Implications of limited investor attention to customer–supplier information transfers

Zhu

2014

The Quarterly Review of Economics and Finance

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We examine the (dis)incentive effects created by the respective tax systems to invest in human capital in Atlantic Canada and compare this to a select group of provinces from the rest of Canada. While findings show a steady decline in effective tax rates through the years, thereby creating an incentive effect to invest in post-secondary education, disproportionately higher rate gap differentials in the Atlantic Provinces, on average, combined with negative comparative statics reveal a somewhat different undertone. The counterproductive nature of the competing policies effectively nullifies any status quo argument for education or tax policy in the Atlantic Provinces, when compared to their brethren. The graduate retention rebate provides some solace to the narrative in helping to alleviate early tax burdens and equalize returns, but is difficult to claim effectiveness in assuaging any monetary windfall associated with migration. IntroductionThe goal of this paper is to assess the (dis)incentive effects created by the provincial tax systems for human capital investment in Atlantic Canada. Our test subjects are university graduates, but we note that such methodology could be applied to any level or subset of the population that possess human capital deemed scarce and productive, in the economic sense. We do not purport to suggest that university graduates are more important in the economic well being of an economy than, say, skilled trades or college graduates, e.g., and encourage one to think of our case as a subset of a larger sample of possibilities. Our presumption, like our goal, is simple; namely, an empirical investigation of incentivizing the tax system in Atlantic Canada remains an unexplored possibility for strategic policy implementation to retain and recruit scarce resources in the market for human capital. We use the impact on effective tax rates (ETRs) and rates of return as our policy litmus test and explore by empirical and simulation analysis the unilateral exploitation of a select number of provincial tax systems. Some may claim that this work puts the * Collins would like to acknowledge the support of the CRS-SSHRC institutional research grant at St. Francis Xavier University in helping to complete this research.proverbial cart before the horse, as it were, since to attract workers a province needs the requisite infrastructure and such may not be currently present at the appropriate level(s) to warrant an increase in the supply of skilled labour. To that end, we suggest that a more accurate assessment (or, at least, a plausible alternative) might be akin to a "chicken or the egg" argument; namely, which comes first? We leave this debate up to the interested reader for now, and focus on establishing the empirics of the analysis in an effort to add the requisite fodder for a more informed discussion.While previous research has examined the disincentive effects created by the tax system for, e.g., university and college graduates (see, for instance, Burbidge et al., 2012), the current study is diff...

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A particle swarm optimization for the single row facility layout problem

Cited by 105 publications

References 23 publications

Single and multi-row layout design for flexible manufacturing systems

Single and multi-row layout design for flexible manufacturing systems

A Hybrid Algorithm for Optimising Facility Layout

Implications of limited investor attention to customer–supplier information transfers

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