{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T18:08:34Z","timestamp":1758823714457},"reference-count":31,"publisher":"Elsevier","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1016\/b978-0-444-64241-7.50009-4","type":"book-chapter","created":{"date-parts":[[2018,8,2]],"date-time":"2018-08-02T10:46:39Z","timestamp":1533206799000},"page":"87-96","source":"Crossref","is-referenced-by-count":7,"title":["Challenges and Perspectives of Process Systems Engineering in Supply Chain Management"],"prefix":"10.1016","author":[{"given":"Ana Paula","family":"Barbosa-P\u00f3voa","sequence":"first","affiliation":[]},{"given":"Jos\u00e9 Mauricio","family":"Pinto","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"11","key":"10.1016\/B978-0-444-64241-7.50009-4_bb0010","doi-asserted-by":"crossref","first-page":"2606","DOI":"10.1016\/j.compchemeng.2008.03.006","article-title":"Planning and scheduling of industrial supply chains with reverse flows: a real pharmaceutical case study","volume":"32","author":"Amaro","year":"2008","journal-title":"Comput. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejor.2017.10.036","article-title":"Opportunities and challenges in sustainable supply chain: an operations research perspective","author":"Barbosa-P\u00f3voa","year":"2018","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0025","series-title":"Making sense of change management","author":"Cameron","year":"2015"},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0030","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.omega.2015.03.008","article-title":"Resilience metrics in the assessment of complex supply-chains performance under demand uncertainty","volume":"56","author":"Cardoso","year":"2015","journal-title":"OMEGA"},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0035","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1016\/j.ejor.2012.11.035","article-title":"Design and planning of supply chains with reverse logistics activities under demand uncertainty","volume":"226","author":"Cardoso","year":"2013","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0040","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/j.compchemeng.2017.02.036","article-title":"Solution methods for vehicle-based inventory routing problems","volume":"101","author":"Dong","year":"2017","journal-title":"Comput. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0045","doi-asserted-by":"crossref","first-page":"17214","DOI":"10.1021\/ie500460c","article-title":"MIP model for inventory routing in industrial gas supply chain","volume":"53","author":"Dong","year":"2014","journal-title":"Ind. Eng. Chem. Res."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0050","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.compchemeng.2012.06.038","article-title":"Advances in mathematical programming models for enterprise-wide optimization","volume":"47","author":"Grossmann","year":"2012","journal-title":"Comput. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0055","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.compchemeng.2012.07.002","article-title":"Challenges and opportunities in enterprise-wide optimization in the pharmaceutical industry","volume":"47","author":"Lainez","year":"2012","journal-title":"Comput. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0060","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1016\/j.compchemeng.2017.09.012","article-title":"Stochastic programming approach for the optimal tactical planning of the downstream oil supply chain","volume":"108","author":"Lima","year":"2018","journal-title":"Comp. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0065","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.tre.2017.12.014","article-title":"A mixed-integer programming strategy for liquid helium global supply chain planning","volume":"110","author":"Malinowski","year":"2018","journal-title":"Transport Res E-Log"},{"key":"10.1016\/B978-0-444-64241-7.50009-4_rf0065","author":"Megan"},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0075","first-page":"382","article-title":"Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty, Part I: Modeling","volume":"84","author":"Mitra","year":"2014","journal-title":"Comp. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0080","first-page":"101","article-title":"Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part II: Enhanced hybrid bi-level decomposition","volume":"65","author":"Mitra","year":"2014","journal-title":"Comp. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0085","doi-asserted-by":"crossref","DOI":"10.1016\/j.omega.2017.05.006","article-title":"Sustainable supply chains: an integrated modelling approach under uncertainty","author":"Mota","year":"2018","journal-title":"Omega"},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0095","doi-asserted-by":"crossref","first-page":"3790","DOI":"10.1002\/aic.15717","article-title":"Data-driven adaptive nested robust optimization: General modeling framework and efficient computational algorithm for decision making under uncertainty","volume":"63","author":"Ning","year":"2017","journal-title":"AIChE J."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0100","doi-asserted-by":"crossref","first-page":"1931","DOI":"10.1016\/j.compchemeng.2009.06.014","article-title":"Supply chain optimisation for the process industries: Advances and opportunities","volume":"33","author":"Papageorgiou","year":"2009","journal-title":"Comp. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0105","doi-asserted-by":"crossref","first-page":"3996","DOI":"10.1021\/ie403395p","article-title":"Hybrid simulation based optimization framework for centralized and decentralized supply chains","volume":"53","author":"Sahay","year":"2014","journal-title":"Ind. Eng. Chem. Res."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0110","doi-asserted-by":"crossref","first-page":"1225","DOI":"10.1016\/j.compchemeng.2005.02.023","article-title":"Process industry supply chains: Advances and challenges","volume":"29","author":"Shah","year":"2005","journal-title":"Comp. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0115","doi-asserted-by":"crossref","first-page":"4272","DOI":"10.1016\/j.ces.2011.05.049","article-title":"Process systems engineering: From Solvay to modern bio- and nanotechnology.: A history of development, successes and prospects for the future","volume":"66","author":"Stephanopoulos","year":"2012","journal-title":"Chem. Eng. Sci."},{"issue":"4","key":"10.1016\/B978-0-444-64241-7.50009-4_bb0120","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.compchemeng.2017.10.011","article-title":"Improved quadratic cuts for convex mixed-integer nonlinear programs","volume":"109","author":"Su","year":"2018","journal-title":"Comp. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0125","author":"Subramanyam"},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0130","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1007\/s10479-011-0974-4","article-title":"Multicut Benders decomposition algorithm for process supply chain planning under uncertainty","volume":"210","author":"You","year":"2013","journal-title":"Ann. Oper. Res."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0135","doi-asserted-by":"crossref","first-page":"3041","DOI":"10.1002\/aic.15255","article-title":"Optimal supply chain design and operations under multi-scale uncertainties: Nested stochastic robust optimization modeling framework and solution algorithm","volume":"62","author":"Yue","year":"2016","journal-title":"AIChE J."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0140","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1016\/j.compchemeng.2015.09.019","article-title":"A discrete-time scheduling model for continuous power-intensive process networks with various power contracts","volume":"84","author":"Zhang","year":"2015","journal-title":"Comp. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0145","first-page":"207","article-title":"Multiscale production routing in multicommodity supply chains with complex production facilities","volume":"79","author":"Zhang","year":"2017","journal-title":"Comp. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0150","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.compchemeng.2015.12.015","article-title":"Risk-based integrated production scheduling and electricity procurement for continuous power-intensive processes","volume":"86","author":"Zhang","year":"2016","journal-title":"Comp. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0155","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.compchemeng.2015.12.018","article-title":"An adjustable robust optimization approach to scheduling of continuous industrial processes providing interruptible load","volume":"86","author":"Zhang","year":"2016","journal-title":"Comp. Chem. Eng."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0160","article-title":"Long-term electricity procurement for large industrial consumers under uncertainty","author":"Zhang","year":"2018","journal-title":"Ind. Eng. Chem. Res."},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0015","doi-asserted-by":"crossref","unstructured":"A.P. Barbosa-P\u00f3voa, Process Supply Chains Management - Where are we? Where to go next? Frontiers in Energy Research - Process and Energy Systems Engineering, 2, 23.","DOI":"10.3389\/fenrg.2014.00023"},{"key":"10.1016\/B978-0-444-64241-7.50009-4_bb0090","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.compchemeng.2012.05.006","article-title":"Optimal design of sustainable chemical processes and supply chains: A review","volume":"44","author":"Nikolopoulou","year":"2012","journal-title":"Comp. Chem. Eng."}],"container-title":["Computer Aided Chemical Engineering","13th International Symposium on Process Systems Engineering (PSE 2018)"],"original-title":[],"link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780444642417500094?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780444642417500094?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,10,21]],"date-time":"2019-10-21T18:52:12Z","timestamp":1571683932000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/B9780444642417500094"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1016\/b978-0-444-64241-7.50009-4","relation":{},"ISSN":["1570-7946"],"issn-type":[{"value":"1570-7946","type":"print"}],"subject":[],"published":{"date-parts":[[2018]]}}}