Integration of electroplating process design and operation for simultaneous productivity maximization, energy saving, and freshwater minimization

Liu, Chaowei; Zhao, Chuanyu; Xu, Qiang

doi:10.1016/j.ces.2011.09.024

Cited by 24 publications

(13 citation statements)

References 34 publications

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“…Heat-integrated (non-isothermal) water-using networks (HIWNs) Zheng et al (2003), Kim (2004b) Feng et al (2008), Ataei et al (2009b) Ataei and Yoo (2010), , 2011 Linnhoff and Hindmarsh (1983), Smith (2005), and Linnhoff et al (1982).…”

Section: Synthesis Conceptsmentioning

confidence: 98%

“…Water and energy network synthesis problems represent special cases of MEN and HEN synthesis problems. The reader is referred to the works (El-Halwagi and Manousiouthakis, 1989;Srinivas and El-Halwagi, 1994;Papalexandri and Pistikopoulos, 1995;Huang and Edgar, 1995;Isafiade and Fraser, 2007;Liu et al, 2012;Liu et al, 2015a) for more details about the synthesis of MENs and combined heat and mass exchanger networks (CHAMENs). Recently, the important issue when considering energy and water interactions regarding industrial implications has also been recently highlighted (Varbanov, 2014).…”

Section: Isothermal and Non-isothermal Water Network Synthesis Problemsmentioning

confidence: 99%

See 1 more Smart Citation

Water and energy integration: A comprehensive literature review of non-isothermal water network synthesis

Ahmetović

Ibrić

Kravanja

et al. 2015

Computers & Chemical Engineering

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Section: Synthesis Conceptsmentioning

confidence: 98%

Section: Isothermal and Non-isothermal Water Network Synthesis Problemsmentioning

confidence: 99%

Water and energy integration: A comprehensive literature review of non-isothermal water network synthesis

Ahmetović

Ibrić

Kravanja

et al. 2015

Computers & Chemical Engineering

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“…of jobs processed Liu et al (2012). (PS||MR) consider an electroplating line with 16 processing units in their cycle hoist scheduling case study.…”

mentioning

confidence: 99%

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

Gahm

Denz

Dirr

et al. 2016

European Journal of Operational Research

378

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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“…In addition to operational optimization, Liu et al considered simultaneous productivity and water‐reuse efficiency maximization by coupling CHS and water reuse network design. Very recently, Liu et al simultaneously addressed a triple‐objective optimization problem in terms of productivity maximization, energy saving, and wastewater minimization.…”

Section: Introductionmentioning

confidence: 99%

Real‐time dynamic hoist scheduling for multistage material handling process under uncertainties

Zhao

2012

AIChE Journal

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in Wiley Online Library (wileyonlinelibrary.com).Multistage material handling processes are broadly used for manufacturing various products/jobs, where hoists are commonly used to transport inline products according to their processing recipes. When multiple types of jobs with different recipes are simultaneously and continuously handled in a production line, the hoist movement scheduling should be thoroughly investigated to ensure the operational feasibility of every job inline and in the meantime to maximize the productivity if possible. The hoist scheduling will be more complicated, if uncertainties of new coming jobs are considered, that is, the arrival time, type, recipe, and number of new jobs are totally unknown and unpredictable before they join the production line. To process the multiple jobs already inline and the newly added jobs, the hoist movements must be swiftly rescheduled and precisely implemented whenever new job(s) come. Because a reschedule has to be obtained online without violating processing time constraints for each job, the solution identification time for rescheduling must be taken into account by the new schedule itself. All these stringent requisites motivate the development of real-time dynamic hoist scheduling (RDHS) targeting online generation of reschedules for productivity maximization under uncertainties. Hitherto, no systematic and rigorous methodologies have been reported for this study. In this article, a novel RDHS methodology has been developed, which takes into account uncertainties of new coming jobs and targets real-time scheduling optimality and applicability. It generally includes a reinitialization algorithm to accomplish the seamless connection between the previous scheduling and rescheduling operations, and a mixed-integer linear programming model to obtain the optimal hoist reschedule. The RDHS methodology addresses all the major scheduling issues of multistage material handling processes, such as multiple recipes, multiple jobs, multicapacity processing units, diverse processing time requirements, and even optimal processing queue for new coming jobs. The efficacy of the developed methodology is demonstrated through various case studies.

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Integration of electroplating process design and operation for simultaneous productivity maximization, energy saving, and freshwater minimization

Cited by 24 publications

References 34 publications

Water and energy integration: A comprehensive literature review of non-isothermal water network synthesis

Water and energy integration: A comprehensive literature review of non-isothermal water network synthesis

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

Real‐time dynamic hoist scheduling for multistage material handling process under uncertainties

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