Integrated lot sizing and energy-efficient job shop scheduling problem in manufacturing/remanufacturing systems

Giglio, Davide; Paolucci, Massimo; Roshani, Abdolreza

doi:10.1016/j.jclepro.2017.01.166

Cited by 77 publications

(26 citation statements)

References 52 publications

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“…However, since the integrated optimization of the flexible job shop scheduling problem can reduce conflicts of resources, the two-stage optimization technique in their research may not be the best optimization scheme. Giglio et al [45] solved an integrated lot sizing and energy-efficient job shop scheduling problem using a relax-and-fix heuristic algorithm; they show that their method can reduce energy consumption, machines idle times, and the overall cost of the system. Some researchers also considered the optimal scheduling method with time-sharing prices [46,47]; however, that belongs to another topic where only the time period with low electric charge is considered, and this goes out of the scope of this research.…”

Section: Literature Reviewmentioning

confidence: 99%

Realizing Energy Savings in Integrated Process Planning and Scheduling

2019

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The integration of scheduling and process planning can eliminate resource conflicts and hence improve the performance of a manufacturing system. However, the focus of most existing works is mainly on the optimization techniques to improve the makespan criterion instead of more efficient uses of energy. In fact, with a deteriorating global climate caused by massive coal-fired power consumption, carbon emission reduction in the manufacturing sector is becoming increasingly imperative. To ease the environmental burden caused by energy consumption, e.g., coal-fired power consumption in use of machine tools, this research considers both makespan as well as environmental performance criteria, e.g., total power consumption, in integrated process planning and scheduling using a novel multi-objective memetic algorithm to facilitate a potential amount of energy savings; this can be realized through a better use of resources with more efficient scheduling schemes. A mixed-integer linear programming (MILP) model based on the network graph is formulated with both makespan as well as total power consumption criteria. Due to the complexity of the problem, a multi-objective memetic algorithm with variable neighborhood search (VNS) technique is then developed for this problem. The Kim’s benchmark instances are employed to test the proposed algorithm. Moreover, the TOPSIS decision method is used to determine the most satisfactory non-dominated solution. Several scenarios are considered to simulate different machine automation levels and different machine workload levels. Computational results show that the proposed algorithm can strike a balance between the makespan criterion and the total power consumption criterion, and the total power consumption can be affected by machine tools with different automation levels and different workloads. More importantly, results also show that energy saving can be realized by completing machining as early as possible on a machine tool and taking advantage of machine flexibility.

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Section: Literature Reviewmentioning

confidence: 99%

Realizing Energy Savings in Integrated Process Planning and Scheduling

2019

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“…For example, batching has been considered in a job-shop scheduling problem (JSP) [4,24], flow-shop scheduling problem (FSP) [25,26], and parallel machine scheduling problem [27]. Research on production scheduling problems considering batch splitting has mainly focused on JSP and FSP.…”

Section: Literature Reviewmentioning

confidence: 99%

A Mathematical Model for Multiworkshop IPPS Problem in Batch Production

Yang

et al. 2018

Mathematical Problems in Engineering

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Integrated Process Planning and Scheduling (IPPS) problem is an important issue in production scheduling. Actually, there exit many factors affecting scheduling results. Many types of workpieces are commonly manufactured in batch production. Moreover, due to differences among process methods, all processes of a workpiece may not be performed in the same workshop or even in the same factory. For making IPPS problem more in line with practical manufacturing, this paper addresses an IPPS problem with batches and limited vehicles (BV-IPPS). An equal batch splitting strategy is adopted. A model for BV-IPPS problem is established. Makespan is the objective to be minimized. For solving the complex problem, a particle swarm optimization (PSO) with a multilayer encoding structure is proposed. Each module of the algorithm is designed. Finally, case studies have been conducted to validate the model and algorithm.

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“…Giglio et al [8] presented a paper that solves the job scheduling problem by using a relax-and-fit heuristics approach. Quariguasi-Frota-Neto and Bloemhof [9] compared the eco-efficiency of the remanufactured computer and mobile phones to their new counterparts.…”

Section: Remanufacturingmentioning

confidence: 99%

Evaluation of Maintenance and EOL Operation Performance of Sensor-Embedded Laptops

Dulman

Gupta

2018

Logistics

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Sensors are commonly employed to monitor products during their life cycles and to remotely and continuously track their usage patterns. Installing sensors into products can help generate useful data related to the conditions of products and their components, and this information can subsequently be used to inform EOL decision-making. As such, embedded sensors can enhance the performance of EOL product processing operations. The information collected by the sensors can also be used to estimate and predict product failures, thereby helping to improve maintenance operations. This paper describes a study in which system maintenance and EOL processes were combined and closed-loop supply chain systems were constructed to analyze the financial contribution that sensors can make to these procedures by using discrete event simulation to model and compare regular systems and sensor-embedded systems. The factors that had an impact on the performance measures, such as disassembly cost, maintenance cost, inspection cost, sales revenues, and profitability, were determined and a design of experiments study was carried out. The experiment results were compared, and pairwise t-tests were executed. The results reveal that sensor-embedded systems are significantly superior to regular systems in terms of the identified performance measures.

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Integrated lot sizing and energy-efficient job shop scheduling problem in manufacturing/remanufacturing systems

Cited by 77 publications

References 52 publications

Realizing Energy Savings in Integrated Process Planning and Scheduling

Realizing Energy Savings in Integrated Process Planning and Scheduling

A Mathematical Model for Multiworkshop IPPS Problem in Batch Production

Evaluation of Maintenance and EOL Operation Performance of Sensor-Embedded Laptops

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