Production lot-sizing decision making considering bottle-neck drift in multi-stage manufacturing system

Zhou, Fuli; Wang, X.; He, Yandong; Goh, Mark

doi:10.14743/apem2017.3.252

Cited by 10 publications

(16 citation statements)

References 17 publications

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“…Tortorella et al (2019) studied the discrepancy of lean implementation performance between emerging and developed groups and results showed there existed differences among specific strategies and socio-economic context. To improve the cost-effective performance of the manufacturing plant, the inventory control strategy was studied by a lot-sizing programming modeling (Zhou et al , 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The lot-sizing optimization and decision-making for intermediate ship-pipe parts is the main component of lean strategy in shipyards, contributing to waste reduction. The lot-sizing problem and industrial applications have been addressed by many discrete manufacturing systems and industrial plants (Adacher and Cassandras, 2014; Makssoud et al , 2014; Beemsterboer et al , 2017; Gruson et al , 2018; Zhou et al , 2017). However, to the state-of-the-art of lean management practice in shipyards, there is a little lot-sizing study in the shipbuilding industry, especially in ship outfitting plants.…”

Section: Introductionmentioning

confidence: 99%

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Lean production of ship-pipe parts based on lot-sizing optimization and PFB control strategy

Zhou

et al. 2020

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Purpose With an increasingly fierce competition of the shipbuilding industry, advanced technologies and excellent management philosophies in the manufacturing industry are gradually introduced to domestic shipyards. The purpose of this study is to promote the lean management of Chinese ship outfitting plants by lean production strategy. Design/methodology/approach To promote the lean implementation of Chinese shipyards, the lean practice of ship-pipe part production is highlighted by lot-sizing optimization and strategic CONWIP (constant work-in-process) control. A nonlinear programming model is formulated to minimize the total cost of ship-pipe part manufacturing and the particle swarm optimization (PSO)-based algorithm is designed to resolve the established model. Besides, the pull-from-the-bottleneck (PFB) strategy is used to control ship-pipe part production, verified by Simulink simulation. Findings Results show that the proposed lean strategy of the programming model and strategic PFB control could assist Chinese ship outfitting plants to leverage competitive advantage by waste reduction and lean achievement. Specifically, the PFB double-loop control strategy shows better performance when there is high productivity and the PFB single-loop control outperforms at lower productivity scenarios. Practical implications To verify the effectiveness of the proposed lean strategy, a case study is performed to validate the formulated model. Also, simulation experiments realized by FlexSim software are conducted to testify results obtained by the constructed programming model. Originality/value Lean production management practice of the shipyard building industry is performed by the proposed lean production strategy through lot-sizing optimization and strategic PFB control in terms of ship-pipe part manufacturing.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Lean production of ship-pipe parts based on lot-sizing optimization and PFB control strategy

Zhou

et al. 2020

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“…erefore, the QoS is measured and considered as an important optimization goal for logistics problem [9,15,16]. In traditional production logistics scenarios, quality performance of logistics activities is usually described by delivery time, accuracy of transported goods, and traceability.…”

Section: Introductionmentioning

confidence: 99%

Service Quality Evaluation of Terminal Express Delivery Based on an Integrated SERVQUAL-AHP-TOPSIS Approach

Yang

2021

Mathematical Problems in Engineering

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With the rapid development of e-commerce and information technology, the express package volume in the Chinese market keeps an explosively increasing tendency. Terminal delivery plays a significant role on the business and reputation promotion of express brand. To identify the service quality of delivery service, an integrated SERVUQAL-AHP-TOPSIS approach is developed to evaluate the quality of service (QoS) of the city express industry. Firstly, the QoS criteria system is established through SERVQUAL-based dimensions. Secondly, the AHP method is employed to derive the relative weights of criteria. Then, the two stages are embedded into the TOPSIS steps to evaluate the service quality of the express alternative. An application case study is conducted following the detailed steps of the proposed integrated decision-making framework, and results demonstrate the effectiveness and validity of the proposed approach on the QoS of terminal delivery evaluation problem.

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“…Worldwide attempts were made to apply time sequencing of discrete events to optimize various production processes (Shouqi et al 2016;Si-Yu et al 2017;Kierzkowski and Kisiel 2017;Zhou et al 2017). Software packages utilizing this approach include Arena, Enterprise Dynamics, Plant Simulation, ProModel and FlexSim (Nordgren 2003;Lavery et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Copper Ore Quality Tracking in a Belt Conveyor System Using Simulation Tools

et al. 2019

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The ore quality at mining faces in the KGHM underground copper ore mines can be determined based on channel samples and block models built in the Datamine system. Unfortunately, even very accurate information regarding the quality of deposits at mining faces does not translate into the possibility of predicting the composition of feed to enrichment plants. The mixed ore from mining faces is cyclically loaded by trucks onto belt conveyors, which in turn convey it to shafts. When transported on the conveyors, mixed ore portions from many loading points form a divisional stream, which then goes to the main haulage conveyors where ore streams from various divisions are combined. The way of filling the bunkers, as well as ore flow temporary stoppages, changes the sequence of ore mixing and its arrival, which hinders the ability to track its quality. In the current study, radiofrequency identification (RFID) was proposed for tracking ore composition. A complementary method of ore quality prediction comes from simulating the tagged ore flow within the FlexSim software package. The discrete element method (DEM) of simulations, verified by experiments with RFID tags, can determine the ore flow through bunkers. Forecasts of ore feed composition for the next shift can be prepared with actual plans of mining division operations, the filling level of bunkers and the work plan of the transport system.

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Production lot-sizing decision making considering bottle-neck drift in multi-stage manufacturing system

Cited by 10 publications

References 17 publications

Lean production of ship-pipe parts based on lot-sizing optimization and PFB control strategy

Lean production of ship-pipe parts based on lot-sizing optimization and PFB control strategy

Service Quality Evaluation of Terminal Express Delivery Based on an Integrated SERVQUAL-AHP-TOPSIS Approach

Copper Ore Quality Tracking in a Belt Conveyor System Using Simulation Tools

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