Synthesis of Resource Conservation Networks with P-Graph Approach—Direct Reuse/Recycle

Lim, Chun Hsion; Pereira, Pacheco; Shum, C. K.; Ong, Wee‐Jun; Tan, Raymond R.; Lam, Hon Loong; Foo, Dominic C.Y.

doi:10.1007/s41660-017-0005-2

Cited by 20 publications

(9 citation statements)

References 34 publications

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“…The basic P-graph structure shall follow the recently established structure as proposed by Lim et al (2017). Note that there are two general types of interception unit, i.e., single pass and partitioning types (Tan et al 2009;Ng et al 2009b).…”

Section: P-graph Model For Materials Interception Unitsmentioning

confidence: 99%

“…As proposed by Lim et al (2017), an BImaginary Operating Unit^is used to represent the direct reuse/recycle options between process sources and the sinks. To incorporate a single pass interception unit into P-graph, new BImaginary Interception Units^will be added, apart from the BImaginary Operating Unit.^The former is meant to provide an alternative route for the material sources to be sent to the interception unit before they are sent to the sinks.…”

Section: Single Pass Interception Unitmentioning

confidence: 99%

“…For this case, all MFW are sent to the pre-treatment system to produce UPW of higher quality prior to be supplied to the sinks. This solution may be solved to obtain the same solution using the P-graph model of the same authors (Lim et al 2017).…”

Section: Case Study 2-wafer Fabrication Processmentioning

confidence: 99%

“…Some recent applications of the P-graph model are worth mentioning, e.g., bioenergy supply chains (Ng et al 2015), renewable energy systems (Szlama et al 2016), planning of carbon capture storage facilities (Chong et al 2014), resource allocation during crisis conditions , and carbon management networks ). While various P-graph techniques have been developed for process synthesis, the only notable application of this approach to RCN problems was reported by a recent paper of the authors (Lim et al 2017). Note however that in Lim et al (2017), the P-graph model was focused on water network mainly, and was limited to direct reuse/recycle scheme, with no attempt on source interception.…”

Section: Introductionmentioning

confidence: 99%

“…While various P-graph techniques have been developed for process synthesis, the only notable application of this approach to RCN problems was reported by a recent paper of the authors (Lim et al 2017). Note however that in Lim et al (2017), the P-graph model was focused on water network mainly, and was limited to direct reuse/recycle scheme, with no attempt on source interception. The latter is the main subject of this work.…”

Section: Introductionmentioning

confidence: 99%

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Synthesis of Material Interception Networks with P-Graph

Lim

Pereira

Shum

et al. 2017

Process Integr Optim Sustain

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A P-graph model was recently developed for direct reuse/recycle scheme for both in-plant resource conservation networks (RCNs) and inter-plant RCNs (IPRCNs). The proposed P-graph model allows visualization which expedites the assessment of optimal and near-optimal solutions. In this paper, the P-graph model will be extended to material interception schemes, i.e., material regeneration and pre-treatment. Material regeneration involves the use of purification unit for quality improvement of the process sources before they are reused/recycled to the sinks. Pre-treatment processes, on the other hand, involve the purification of fresh resources for use in processes with stringent quality requirement. Two literature case studies are solved to demonstrate the newly extended model.

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Section: P-graph Model For Materials Interception Unitsmentioning

confidence: 99%

Section: Single Pass Interception Unitmentioning

confidence: 99%

Section: Case Study 2-wafer Fabrication Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Synthesis of Material Interception Networks with P-Graph

Lim

Pereira

Shum

et al. 2017

Process Integr Optim Sustain

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Literature Review on Research and Applications

Friedler

Orosz

Losada

2022

P-Graphs for Process Systems Engineering

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RETRACTED ARTICLE: Prescriptive analytics applications in sustainable operations research: conceptual framework and future research challenges

et al. 2023

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In the broad sphere of Analytics, prescriptive analytics is one of the emerging areas of interest for both academicians and practitioners. As prescriptive analytics has transitioned from its inception to an emerging topic, there is a need to review existing literature in order to ascertain development in this area. There are a very few reviews in the related field but not specifically on the applications of prescriptive analytics in sustainable operations research using content analysis. To address this gap, we performed a review of 147 articles published in peer-reviewed academic journals from 2010 to August 2021. Using content analysis, we have identified the five emerging research themes. Through this study, we aim to contribute to the literature on prescriptive analytics by identifying and proposing emerging research themes and future research directions. Based on our literature review, we propose a conceptual framework for studying the impacts of the adoption of prescriptive analytics and its impact on sustainable supply chain resilience, sustainable supply chain performance and competitive advantage. Finally, the paper acknowledges the managerial implications, theoretical contribution and the limitations of this study.

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Synthesis of Resource Conservation Networks with P-Graph Approach—Direct Reuse/Recycle

Cited by 20 publications

References 34 publications

Synthesis of Material Interception Networks with P-Graph

Synthesis of Material Interception Networks with P-Graph

Literature Review on Research and Applications

RETRACTED ARTICLE: Prescriptive analytics applications in sustainable operations research: conceptual framework and future research challenges

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