Sustainable performance oriented operational decision-making of single machine systems with deterministic product arrival time

Liu, Chenguang; Yang, Jing; Lian, Jie; Li, Wenjuan; Evans, Steve; Yin, Yong

doi:10.1016/j.jclepro.2014.07.025

Cited by 65 publications

(32 citation statements)

References 30 publications

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“…The attributes in this category are "machine turn on" (e.g., Shrouf et al, 2014), "machine idle" (e.g., Luo et al, 2013), "machine setup" (e.g., Eren & Gautam, 2011), "machine turn off" (e.g., Liu et al, 2014b), and "material storage" (e.g., Halim & Srinivasan, 2009). The first four attributes represent certain states of machines (PUs), each of which is associated with an individual demand for energy.…”

Section: Energy Demandmentioning

confidence: 99%

Energy-efficient scheduling in manufacturing companies: A review and research framework

Gahm

Denz

Dirr

et al. 2016

European Journal of Operational Research

369

143

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Highlights We develop a research framework for energy-efficient scheduling (EES)  Energetic coverage, energy-supply and energy-demand are main EES categories  We categorize the current state of literature into the developed framework  Numerical benefits of EES approaches with real-world case studies are presented ABSTRACT Because sustainable scheduling is attracting increasing amounts of attention from many manufacturing companies and energy is a central concern regarding sustainability, the purpose of this paper is to develop a research framework for "energy-efficient scheduling" (EES). EES approaches are scheduling approaches that have the objective of improving energy efficiency.Based on an iterative methodology, we review, analyze, and synthesize the current state of the literature and propose a completely new research framework to structure the research field. In doing so, the three dimensions "energetic coverage", "energy supply", and "energy demand" are introduced and used to classify the literature. Each of these dimensions contains categories and attributes to specify energy-related characteristics that are relevant for EES. We further provide an empirical analysis of the reviewed literature and emphasize the benefits that can be achieved by EES in practice.

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Section: Energy Demandmentioning

confidence: 99%

Energy-efficient scheduling in manufacturing companies: A review and research framework

Gahm

Denz

Dirr

et al. 2016

European Journal of Operational Research

369

143

View full text Add to dashboard Cite

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“…Except software package service as programming solver, MP-based approaches observed in the field of three targeted fields are as follows: Branch-and-Bound [34], Branch-and-Cut [146], Branch-and-Price [219], Branch-and-Cut-and-Price [142], Dynamic Programming [220], Lagrangian Relaxation [221], Column Generation [222], Set Partitioning [223], Constraint Programming [224], Goal Programming [225], Set Covering [226], and so forth. As shown in Table 1, it can be observed that the most frequently used mathematical programming-based method in the field of scheduling is B&B (Branch-and-Bound), while B&P (Branch-and-Price) is the most popular branching method in the field of VRP.…”

Section: Mathematical Programming-based Approachesmentioning

confidence: 99%

A Survey of Recent Research on Optimization Models and Algorithms for Operations Management from the Process View

Fei

Shen

2017

Scientific Programming

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Over the past decades, optimization in operations management has grown ever more popular not only in the academic literature but also in practice. However, the problems have varied a lot, and few literature reviews have provided an overview of the models and algorithms that are applied to the optimization in operations management. In this paper, we first classify crucial optimization areas of operations management from the process point of view and then analyze the current status and trends of the studies in those areas. The purpose of this study is to give an overview of optimization modelling and resolution approaches, which are applied to operations management.

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“…In seven publications assigned to production planning no economic indicators were used. Publications that did not use an economic indicator in production planning, focused on balancing between either energy consumption and total completion time (Mansouri et al 2016;Yildirim and Mouzon 2012;Mouzon et al 2007), energy consumption and tardiness (Liu et al 2014b), carbon emissions and total completion time (Liu et al 2014a), or focused on environmental indicators objectives only in pinch analysis (Geldermann et al 2006(Geldermann et al , 2007. In some publications two economic indicators are used simultaneously, e.g.…”

Section: Key Performance Indicatorsmentioning

confidence: 99%

Multi-criteria decision making approaches for green supply chains: a review

et al. 2016

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Designing Green Supply Chains (GSCs) requires complex decisionsupport models that can deal with multiple dimensions of sustainability while taking into account specific characteristics of products and their supply chain. Multi-Criteria Decision Making (MCDM) approaches can be used to quantify trade-offs between economic, social, and environmental criteria i.e. to identify green production options. The aim of this paper is to review the use of MCDM approaches for designing efficient and effective GSCs. We develop a conceptual framework to find relevant publications and to categorise papers with respect to decision problems, indicators, and MCDM approaches. The analysis shows that (1) the use of MCDM approaches for designing GSCs is a rather new but emerging research field, (2) most of the publications focus on production and distribution problems, and there are only a few inventory models with environmental considerations, (3) the majority of papers assume all data to be deterministic, (4) little attention has been given to minimisation of waste, (5) numerous indicators are used to account for eco-efficiency, indicating the lack of standards. This study, therefore, identifies the need for

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Sustainable performance oriented operational decision-making of single machine systems with deterministic product arrival time

Cited by 65 publications

References 30 publications

Energy-efficient scheduling in manufacturing companies: A review and research framework

Energy-efficient scheduling in manufacturing companies: A review and research framework

A Survey of Recent Research on Optimization Models and Algorithms for Operations Management from the Process View

Multi-criteria decision making approaches for green supply chains: a review

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