Dynamic scheduling and line balancing methods, and software tools for lean and reconfigurable disassembly cells and lines

Ránky, Paul G.; Subramanyam, M. U. M.; Caudill, R.J.; Limaye, K.; Alli, N.

doi:10.1109/isee.2003.1208081

Cited by 7 publications

(8 citation statements)

References 10 publications

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“…Task processing times: The disassembly task processing times are the most common uncertain parameter considered in DLB models. While , Özceylan and Paksoy (2014c), Kalayci et al (2015b), Seidi and Saghari (2016) and Zhang et al (2017) assumed fuzzy task processing time; the disassembly task times are assumed to be independent random variables with known and normal probability distributions by Kekre et al (2003), Ranky et al (2003), Gupta (2004, 2005), Agrawal and Tiwari (2008), Karadağ and Türkbey (2013), Bentaha et al (2013aBentaha et al ( , 2013bBentaha et al ( , 2013cBentaha et al ( , 2013dBentaha et al ( , 2013e, 2014aBentaha et al ( , 2014bBentaha et al ( , 2014cBentaha et al ( , 2014dBentaha et al ( , 2014e, 2015aBentaha et al ( , 2015b A general summary of uncertainty issues in existing DLB studies is given in Table 4. As can be seen from Table 4, all factors except task failures are considered fuzzy, and the task processing time is the most frequently studied uncertain factor handled as stochastic.…”

Section: Performance Measures Studiesmentioning

confidence: 99%

“…Hazardous work-pieces 55 Güngör and Gupta (1999a; Güngör et al (2000); Gupta and Güngör (2001); McGovern and Gupta (2003a; McGovern, ; Gupta (2004, 2005); Lambert and Gupta (2005b); Wang et al (2011); Avikal and Mishra (2012); Karadağ and Türkbey (2013); Avikal et al (2013cAvikal et al ( , 2014cAvikal et al ( , 2016; Kalayci and Gupta (2011a; Bentaha et al (2013bBentaha et al ( , 2013aBentaha et al ( , 2014e, 2014bBentaha et al ( , 2014dBentaha et al ( , 2015aBentaha et al ( , 2015b; ; ; Kalayci et al (2011Kalayci et al ( , 2015aKalayci et al ( , 2015b McGovern and ; Lambert and Gupta (2005b); Ding et al (2009Ding et al ( , 2010b; Wang et al (2011); Avikal and Mishra (2012); Avikal et al (2013cAvikal et al ( , 2014cAvikal et al ( , 2016; Kalayci and Gupta (2011a; ; ; Kalayci et al (2011Kalayci et al ( , 2015bKalayci et al ( , 2015a (No complication) 28 ; Ranky et al (2003); McGovern and Gupta (2004); Lambert and Gupta (2005a); Tang and Zhou (2006); ; ; ; ;…”

Section: Considered Complications Frequency Studiesmentioning

confidence: 99%

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Disassembly line balancing problem: a review of the state of the art and future directions

Özceylan

Kalaycı

Güngör

et al. 2018

International Journal of Production Research

151

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The disassembly line balancing (DLB) problem assigns the set of tasks to each workstation for each product to be disassembled and aims at attaining several objectives, such as minimising the number of workstations, ensuring similar idle time at each workstation and removing hazardous parts/highly demanded components at the earliest moments possible. Over the past two decades, the DLB problem and its variants have grown ever more popular for researchers and practitioners of environmentally conscious manufacturing. Yet, the problem characteristics and assumptions vary widely and there is no literature review to classify the existing articles accordingly. Hence, a comprehensive literature review of recent and state-of-the-art papers is vital to draw a framework of the past, and to shed light on future directions. To do so, 116 studies published in proceedings and journals since 1999 are selected and reviewed. The papers are then analysed and categorised to construct a useful foundation of past research. Finally, trends and gaps in the literature are identified to clarify and to suggest future research opportunities.

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Section: Performance Measures Studiesmentioning

confidence: 99%

Section: Considered Complications Frequency Studiesmentioning

confidence: 99%

Disassembly line balancing problem: a review of the state of the art and future directions

Özceylan

Kalaycı

Güngör

et al. 2018

International Journal of Production Research

151

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“…The second step aims at balancing the workload of the stations and uses a 2-opt exchange local search algorithm to improve the initial solution. Ranky et al (2003) propose a dynamic disassembly line balancing algorithm that aims at smoothing the load of the shop floor. They extend the COMSOAL algorithm (Arcus, 1966) used for ALBP to obtain a balanced schedule in which all precedence relations are met and flow time of the discarded product is minimized.…”

Section: Literature Reviewmentioning

confidence: 99%

Profit-oriented disassembly-line balancing

Altekin

Kandiller

Özdemirel

2008

International Journal of Production Research

200

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We study the profit oriented partial disassembly line balancing problem, which simultaneously determines (i) the parts whose demand is to be fulfilled to generate revenue,(ii) the tasks that will release the selected parts under task and station costs, (iii) the number of stations that will be opened, (iv) the cycle time, and (v) the balance of the disassembly line, i.e. the feasible assignment of selected disassembly tasks to stations such that various types of precedence relations among the tasks are satisfied. We characterize the precedence relation types in disassembly and provide a mixed integer programming formulation of the problem. We propose a linear programming based lower and upper bounding scheme.Computational results show that our approach provides near optimal solutions for small problems and is capable of solving larger problems with up to 320 disassembly tasks in reasonable time.

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“…Some researchers are focusing more on logical activity of Reconfigurable Manufacturing System (RMS). Some aspects are examined in RMS logical activities, including scheduling and operational aspects [8], [9], [10], and strategic aspects of flexibility and convenience for the reconfigured [11], [12]. Design models and product family grouping was also developed for the determination of the module in designing RMS [13], [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable mixed model assembly line design in a dynamic production environment

Damayanti¹,

Toha

2012

2012 IEEE International Conference on Industrial Engineering and Engineering Management

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A mixed model assembly line is generally designed to produce a certain production mixed and volume that is assumed to be steady for a long period. As a result, the line performance tends to decline by some fluctuations in production demand. In a dynamic production environment, an assembly line configuration and product sequence may need to be revised every time the demand changes to keep the line efficient. However, frequent or radical reconfiguration of the line could be costly; the change of the line configuration and product sequence should be optimized.

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Dynamic scheduling and line balancing methods, and software tools for lean and reconfigurable disassembly cells and lines

Cited by 7 publications

References 10 publications

Disassembly line balancing problem: a review of the state of the art and future directions

Disassembly line balancing problem: a review of the state of the art and future directions

Profit-oriented disassembly-line balancing

Reconfigurable mixed model assembly line design in a dynamic production environment

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