Note—Sequencing JIT Mixed-Model Assembly Lines

Inman, Robert R.; Bulfin, Robert L.

doi:10.1287/mnsc.37.7.901

Cited by 113 publications

(31 citation statements)

References 3 publications

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“…It is the idea of producing exactly what the customer wants, in the quantities they want, where they want it, when the customer wants it without being delayed or held upon inventory [28]. Inman and Bulfin [29] implied that JIT implementation provokes to reduce hurdles like long change over time; unleveled production schedules; highly variable production processes; large container sizes; severe bottlenecks and long lead time.…”

Section: Just In Time (Jit)mentioning

confidence: 99%

Court Shoe Production Line: Improvement of Process Cycle Efficiency by Using Lean Tools

Mia¹,

Nur-E-Alam²,

Uddin³

2017

LFJ

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ABSTRACT. Lean manufacturing is an applied methodology of scientific, objective techniques that cause work tasks in a process to be performed with a minimum of non-value adding activities resulting in greatly reduced wait time, queue time, move time, administrative time, and other delays. This work addresses the implementation of lean principles in a footwear manufacturing industry in order to evaluate present Process Cycle Efficiency (PCE) and lead time prior to developing an improved strategy to bring the improved PCE and to reduce the lead time. At the present state, the PCE was found 8.32% and after the implementation of lean tools, it would be 19.46% at the future state where lead time would also be reduced by 57.24% evaluated by Pareto analysis and value stream mapping (VSM) tools. The production flow was optimized by minimizing several non-value added activities and time such as bottlenecking, machine breakdown, queue time, waiting time, material handling time, etc. Eventually, this study will be useful in developing a more generic approach to design lean environment in the management system of the studied "X" Footwear Industry in Bangladesh. KEY WORDS: lean tools, VSM, lead time, PCE, technology assessment, court shoe, Bangladesh LINIE DE PRODUCŢIE A PANTOFILOR CLASICI: ÎMBUNĂTĂŢIREA EFICIENŢEI PROCESULUI PRIN UTILIZAREA INSTRUMENTELOR SUPLEREZUMAT. Producţia suplă este o metodologie aplicată pe baza unor tehnici ştiinţifice şi obiective care presupune ca sarcinile de lucru din cadrul unui proces să fie realizate cu un minim de activităţi fără valoare adăugată, ceea ce are ca rezultat reducerea timpului de aşteptare, timpului de mişcare, timpului de administrare şi altor întârzieri. Această lucrare abordează implementarea unor principii suple într-o fabrică de încălţăminte pentru a evalua eficienţa ciclului de proces (PCE) existent şi timpul de execuţie înainte de a dezvolta o strategie pentru a îmbunătăţi PCE şi pentru a reduce timpul de execuţie. În starea actuală PCE a fost estimat la 8,32%, iar după punerea în aplicare a instrumentelor suple, ar creşte în viitor la 19,46%, iar timpul de execuţie ar fi redus cu 57,24%, evaluat prin analiza Pareto şi instrumentele de cartografiere a fluxului de valori (VSM). Fluxul de producţie a fost optimizat prin reducerea la minimum a mai multor activităţi şi timpi fără valoare adăugată, cum ar fi blocajele, defectarea maşinilor, timpul de aşteptare, timpul de manipulare a materialelor etc. În cele din urmă, acest studiu va fi util în dezvoltarea unei abordări mai generice pentru proiectarea unei producţii suple în sistemul de management al fabricii de încălţăminte "X" din Bangladesh. CUVINTE CHEIE: instrumente suple, VSM, timp de execuţie, PCE, evaluarea tehnologiei, pantofi clasici, Bangladesh LIGNE DE PRODUCTION DES CHAUSSURES CLASSIQUES: AMÉLIORER L'EFFICACITÉ DU PROCÉDÉ EN UTILISANT LES OUTILS DE GESTIONALLÉGÉE RÉSUMÉ. La production allégée est une méthodologie appliquée à partir des techniques scientifiques et objectives qui impliquent que les tâches de trava...

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Section: Just In Time (Jit)mentioning

confidence: 99%

Court Shoe Production Line: Improvement of Process Cycle Efficiency by Using Lean Tools

Mia¹,

Nur-E-Alam²,

Uddin³

2017

LFJ

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“…Miltenburg (1989) solved the same problem with a dynamic programming algorithm. Inman and Bulfin (1991) solved the problem proposed by Miltenburg and Sinnamon (1989) by converting it to a mathematically different approach. Other objectives have also been considered by a number of researchers.…”

Section: Literature Reviewmentioning

confidence: 99%

An imperialist competitive algorithm mixed model assembly line sequencing problem on just in time system

Hemmati¹,

Hemmati²,

Ahmadifard³

2012

Sci. Res. Essays

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Mixed-model lines are used to produce several kinds of models in small lots without carrying large inventories. The production sequence for the mixed-model sequencing problem depends on the goals of the production facility. In order to enjoy the useful application of these lines, it is vital to devise a schedule for assembling the different products to be determined. Based on the NP-hardness of the problem, this present paper introduces an imperialist competitive algorithm (ICA) in three phases so as to solve a just-in-time (JIT) sequencing problem where the diversity of production rates to be optimized. Performance of the ICA was compared against two other search heuristics genetic algorithm (GA) and simulated annealing (SA) in small, medium and large problems. To compare presented algorithm with previous ones, an extensive computational study on 3 sets of benchmark problems has been conducted. Experimental results showed that our algorithm outperforms the previous algorithms, in respect of comparison metric.

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“…Assuming that all models require (almost) the same number and mix of parts (Miltenburg, 1989), it is sucient to level the model occurrences over time (e.g. Kubiak and Sethi, 1991;Inman and Buln, 1991;Steiner and Yeomans, 1993). Literature reviews are provided by Kubiak (1993), Dhamala and Kubiak (2005) as well as Boysen et al (2006).…”

Section: Literature Reviewmentioning

confidence: 99%

Sequencing mixed-model assembly lines to minimize part inventory cost

2007

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A mixed-model assembly line enables the joint production of dierent models of a common base product in intermixed model sequence (lot size one). Previous approaches for the short-term planning task of model sequencing either aim at minimizing work overload (mixed-model sequencing and car sequencing) or leveling part usages (level scheduling). However, at many manufacturers parts are consolidated by a third party logistics provider, who stocks Just-in-Time delivered parts in a consignment warehouse adjacent to the line. The manufacturer issues a complete cargo carrier (e.g. a euro-pallet) whenever his own intermediate storage of parts is depleted.Thus, the manufacturer aims at a model sequence which minimizes his own inventory costs. This paper formalizes this novel model sequencing problem and describes dierent heuristic and exact procedures. Furthermore, the solutions yielded by these approaches are compared to the traditional level scheduling.

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Note—Sequencing JIT Mixed-Model Assembly Lines

Cited by 113 publications

References 3 publications

Court Shoe Production Line: Improvement of Process Cycle Efficiency by Using Lean Tools

Court Shoe Production Line: Improvement of Process Cycle Efficiency by Using Lean Tools

An imperialist competitive algorithm mixed model assembly line sequencing problem on just in time system

Sequencing mixed-model assembly lines to minimize part inventory cost

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