Relevant bibliographies by topics / Optimization of supply chain

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Optimization of supply chain'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Optimization of supply chain"

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Hwang, Ming-Lang Tun, Wi-Lang Collin, and Lee Sen Wang-xu. "Quantum computing and supply chain optimization: addressing complexity and efficiency challenges." International Journal of Enterprise Modelling 15, no. 3 (2021): 148–62. http://dx.doi.org/10.35335/emod.v15i3.49.

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Quantum computing is used to address supply chain optimization complexity and efficiency. Multiple locations, time periods, transportation expenses, facility opening costs, production capacity, and demand fulfillment requirements complicate supply chains. Supply chain optimization's complexity and huge solution areas challenge traditional optimization methods. Quantum algorithms can efficiently explore bigger solution areas in quantum computing. Starting with problem identification, this research reviews quantum computing and supply chain optimization literature. The supply chain optimization
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Singh, Dr Sujit Kumar, and Abhinav Dubey. "Impact Of Supply Chain Optimization On Cost Reduction." International Journal of Research Publication and Reviews 6, no. 6 (2025): 1452–62. https://doi.org/10.55248/gengpi.6.0625.2043.

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ASLAM, M. M. HARIS, KAMRAN RASHID, and TASHFEEN M. AZHAR. "ROLE OF OPTIMAL PRODUCTION PLAN AT THE FOCAL FIRM IN OPTIMIZATION OF THE SUPPLY CHAIN." Journal of Management and Research 1, no. 2 (2019): 1–8. http://dx.doi.org/10.29145/jmr/12/0102001.

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Supply chain management and optimization is a critical aspect of modern enterprises and an expanding area of research. Modeling and optimization are the traditional tools of supply chain management. The techniques have been used by many companies for planning, manufacturing, and other decision areas in supply chains. Current study is motivated by the fact that optimization studies in supply chain management have mostly considered network optimization. Supply chain management however, requires alignment between the supply chain partners at the tactical level. As a first step towards achieving t
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Lohakare, Samyak. "Supply Chain Optimization in Manufacturing." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 2016–20. https://doi.org/10.22214/ijraset.2025.70686.

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The optimization of supply chain management (SCM) is crucial for enhancing efficiency and reducing costs in manufacturing industries. This study employs a qualitative research approach to explore various strategies for SCM optimization. Data were collected through semi-structured interviews with SCM experts, focus groups with key stakeholders, and an extensive review of secondary sources. The analysis reveals that the integration of information technology (IT), including ERP systems, supply chain management software, cloud computing, and the Internet of Things (IoT), significantly enhances sup
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Suraj, S., and K. Badari Nath. "Optimal Inventory Allocation in Supply Chain Using Decision Optimization." International Journal of Science and Research (IJSR) 10, no. 7 (2021): 662–65. https://doi.org/10.21275/sr21624203337.

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Kumar Paul, Rudrendu, and Bidyut Sarkar. "AI-Powered Route Optimization System in Supply Chain Operations." International Journal of Science and Research (IJSR) 11, no. 3 (2022): 1551–54. http://dx.doi.org/10.21275/es231119103321.

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Ene, Seval, and Nursel Öztürk. "Multi-objective green supply chain network optimization." Global Journal of Business, Economics and Management: Current Issues 7, no. 1 (2017): 15. http://dx.doi.org/10.18844/gjbem.v7i1.1391.

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In supply chain management, economical objectives have traditionally guided decisions of the supply chains. However, with increased global environmental and social concerns, in recent years, green aspects have been incorporated in supply chain decisions. These expansions lead to new research areas about green or sustainable supply chain management that includes applying various green practices in order to reduce negative impact on the environment or providing sustainable development. The purpose of this study is to develop a multi-objective optimization model for determining network design of
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Ene, Seval, and Nursel Ozturk. "Multi-objective green supply chain network optimization." Global Journal of Business, Economics and Management: Current Issues 7, no. 1 (2018): 15–24. http://dx.doi.org/10.18844/gjbem.v7i1.1875.

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In supply chain management, economical objectives have traditionally guided decisions of the supply chains. However, with increased global environmental and social concerns, in recent years, green aspects have been incorporated in supply chain decisions. These expansions lead to new research areas about green or sustainable supply chain management that includes applying various green practices in order to reduce negative impact on the environment or providing sustainable development. The purpose of this study is to develop a multi-objective optimization model for determining network design of
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Küçükoğlu, Ilker, and Nursel Öztürk. "Multi-objective green supply chain network optimization." Global Journal of Business, Economics and Management: Current Issues 7, no. 1 (2017): 15. http://dx.doi.org/10.18844/gjbem.v7i1.2561.

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Abstract
 
 In supply chain management, economical objectives have traditionally guided decisions of the supply chains. However, with increased global environmental and social concerns, in recent years, green aspects have been incorporated in supply chain decisions. These expansions lead to new research areas about green or sustainable supply chain management that includes applying various green practices in order to reduce negative impact on the environment or providing sustainable development. The purpose of this study is to develop a multi-objective optimization model for determin
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Wofuru-Nyenke, Ovundah King. "Routing and facility location optimization in a dairy products supply chain." Future Technology 3, no. 2 (2024): 44–49. http://dx.doi.org/10.55670/fpll.futech.3.2.5.

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Routing and facility location optimization is an important aspect of supply chain management. This is because the problem of determining which facilities within a supply chain echelon should cost-effectively supply products to facilities in the next echelon is usually encountered by supply chain managers and analysts. In this paper, a linear programming model for supply chain routing and facility location optimization has been proposed. The model can be solved using the PuLP optimization library implemented in Python programming language. The model has been applied to a small dairy products su
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Dissertations / Theses on the topic "Optimization of supply chain"

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Romero, Morales Dolores. "Optimization problems in supply chain management /." [S.l.] : [s.n.], 2000. http://aleph.unisg.ch/hsgscan/hm00021582.pdf.

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Lok, Reinder Berend. "Auction mechanisms in supply chain optimization." [Maastricht] : Maastricht : Universitaire Pers Maastricht ; University Library, Universiteit Maastricht [host], 2007. http://arno.unimaas.nl/show.cgi?fid=8717.

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Gunpinar, Serkan. "Supply Chain Optimization of Blood Products." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4684.

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Major challenges in the management of blood supply chain are related to the shortage and wastage of the blood products. Given the perishability characteristics of blood which can be stored up to a limited number of days, if hospitals and blood centers keep an excessive number of blood units on inventory, wastages may occur. On the other hand, if sufficient number of blood units are not stored on inventory, shortages of this resource may cause the cancellations of important activities and increase the fatality rates at hospitals. Three mathematical models have been developed with the goal to im
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Wike, Carl E. 1948. "Supply chain optimization : formulations and algorithms." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9763.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 1999.<br>Includes bibliographical references (leaves 103-106).<br>In this thesis, we develop practical solution methods for a supply chain optimization problem: a multi-echelon, un capacitated, time-expanded network of distribution cen­ters and stores, for which we seek the shipping schedule that minimizes total inventory, backlogging, and shipping costs, assuming deterministic, time-varying demand over a fixed time horizon for a single product. Because of fixed ordering and shipping c
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Wang, Shentao. "Supply chain planning using network flow optimization." online access from Digital Dissertation Consortium access full-text, 2003. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?MQ89164.

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Gunnarsson, Lidestam Helene. "Supply chain optimization in the forest industry." Doctoral thesis, Linköpings universitet, Optimeringslära, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8856.

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The scope of this thesis is modelling and solving large-scale planning problems in the supply chain within the forest industry. Five research papers are included, the first three of which focus on the modelling, and the last two on the solution methods. All problems included are tactical multi-commodity problems expressed as mixed integer programming (MIP) models. The work has been done in collaboration with two Swedish companies within the forest industry. In Paper I, a problem concerning the supply chain of forest fuel for Sydved Energileveranser AB is modelled and solved. We study the probl
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Gunnarsson, Helene. "Supply chain optimization in the forest industry /." Linköping : Department of Mathematics, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8856.

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Emanuelsen, Kristian, and Sondre Thorvaldsen. "Supply Chain Optimization in the LNG Business." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for industriell økonomi og teknologiledelse, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20974.

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Large players can control several tiers in the liquefied natural gas (LNG) supply chain, which calls for coordinated decisions and a system to facilitate integrated operations. This thesis is concerned with solving a combined inventory and routing problem (IRP) with contract handling within a tactical planning horizon. The purpose is to develop optimization models and methods which can support a company downstream in the LNG supply chain. Ships transport LNG from liquefaction plants, where the LNG is produced, to regasification terminals. Pick-up of gas must fulfill a set of purchase contracts
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Ng, Chong Keat. "Inbound supply chain optimization and process improvement." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/81122.

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Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Global Operations Program at MIT, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 58).<br>The primary goal of this project is to evaluate Amazon's inbound supply chain processes and identify improvement opportunities in transportation cost and lead time. Analysis will be focused on defining the current state and evaluating the strengths and weaknesses of
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Henkle, Aimee L. (Aimee Leigh) 1975. "Global supply chain design and optimization methodology." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/34762.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program at MIT, 2004.<br>Includes bibliographical references (p. 72).<br>The work for this thesis was performed at Honeywell in the Automation and Control Solutions (ACS) division. The project focuses on ACS's manufacturing strategy regarding its global supply chain design, primarily discussing the manufacturing growth opportunities available in emerging reg
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Books on the topic "Optimization of supply chain"

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Geunes, Joseph, and Panos M. Pardalos, eds. Supply Chain Optimization. Springer US, 2005. http://dx.doi.org/10.1007/b137269.

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Papageorgiou, Lazaros G. Supply chain optimization. Wiley-VCH, 2008.

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Shaikh, Ali Akbar, Ioannis Konstantaras, Irfan Ali, Ata Allah Taleizadeh, and Nita H. Shah, eds. Supply Chain Finance Modelling and Optimization. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-2359-1.

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Pirim, Harun, Umar Al-Turki, and Bekir Sami Yilbas. Supply Chain Management and Optimization in Manufacturing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08183-0.

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Smith, Rob. Global Supply Chain Performance and Risk Optimization. Deutscher Universitätsverlag, 2002. http://dx.doi.org/10.1007/978-3-322-81407-4.

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Jing-Sheng, Song, and Yao David D. 1950-, eds. Supply chain structures: Coordination, information and optimization. Kluwer Academic Publishers, 2002.

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Watson, Michael. Supply chain network design: Applying optimization and analytics to the global supply chain. FT Press, 2013.

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Sabri, Ehap H. Optimization of supply chain management in contemporary organizations. Business Science Reference, an imprint of IGI Global, 2015.

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Song, Dong-Ping. Optimal Control and Optimization of Stochastic Supply Chain Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4724-4.

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Shao, Juping, Yanan Sun, and Bernd Noche. Optimization of Integrated Supply Chain Planning under Multiple Uncertainty. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47250-7.

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Book chapters on the topic "Optimization of supply chain"

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Badiru, Adedeji B. "Modeling for Supply Chain Optimization." In Global Supply Chain. CRC Press, 2021. http://dx.doi.org/10.1201/9781003111979-4.

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Badiru, Adedeji B. "Modeling for Supply Chain Optimization." In Flexible Supply Chain. CRC Press, 2024. http://dx.doi.org/10.1201/9781032620701-6.

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Badiru, Adedeji B. "Supplier Selection Using Multiple Criteria Optimization." In Global Supply Chain. CRC Press, 2021. http://dx.doi.org/10.1201/9781003111979-6.

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Pirim, Harun, Umar Al-Turki, and Bekir Sami Yilbas. "Optimization in Supply Chain." In Supply Chain Management and Optimization in Manufacturing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08183-0_4.

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Martel, Alain, and Walid Klibi. "Supply Chain Networks Optimization." In Designing Value-Creating Supply Chain Networks. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28146-9_7.

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Pirim, Harun, Umar Al-Turki, and Bekir Sami Yilbas. "Supply Chain Management." In Supply Chain Management and Optimization in Manufacturing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08183-0_2.

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Gattorna, J. L., and D. W. Walters. "Optimization of the Supply Chain." In Managing the Supply Chain. Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-24841-4_17.

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Almeder, Christian, Margaretha Preusser, and Richard F. Hartl. "Simulation and optimization of supply chains: alternative or complementary approaches?" In Supply Chain Planning. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-93775-3_2.

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Nazemi, Najmesadat, and Sophie N. Parragh. "Resilient Supply Chain Network Design: An Overview of Optimization Models." In Supply Chain Resilience. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95401-7_14.

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Upadhyay, Chandra Kant, Punita Bhatt, and Bharti. "Optimization of supply chain financial (SCF) flow in COVID-19 situation." In Supply Chain Management. CRC Press, 2024. http://dx.doi.org/10.1201/9781003509561-5.

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Conference papers on the topic "Optimization of supply chain"

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Eddine, Khiloun Imad, Belmabrouk Karima, and Dekhici Latifa. "Matrix-Probabilistic Particle Swarm Optimization for Supply Chain Optimization." In 2024 International Conference of the African Federation of Operational Research Societies (AFROS). IEEE, 2024. https://doi.org/10.1109/afros62115.2024.11036965.

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Nakatsukasa, Taichi, Ryosuke Adachi, and Yuji Wakasa. "Supply Chain Management Using Distributed Optimization Algorithm." In 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE). IEEE, 2024. https://doi.org/10.1109/gcce62371.2024.10760313.

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Li, Zhe, Yiqiang Zhang, Hanshu Bi, Hongli Guan, and Zhiyuan Li. "Intelligent Optimization of Material Supply Chain via Machine Learning." In 2024 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC). IEEE, 2024. https://doi.org/10.1109/iiotbdsc64371.2024.00017.

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Dai, Xianqi. "Traffic Intersection Optimization Based on Random Forest and SUMO Simulation in Xi’an." In International Conference on Modern Logistics and Supply Chain Management. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013329600004558.

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Ren, Yujie, Guo Tang, and Wenyue Zhou. "Optimization of Cold Chain Logistics Based on Dynamic Planning Under Green Perspective." In International Conference on Modern Logistics and Supply Chain Management. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013444300004558.

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Patel, Sunil, Bhagvanbhai Madhabhai Karnavat, Vinit M. Mistri, Chiragkumar B. Rathod, and Chirag Rasikbhai Patel. "AI in Supply Chain Optimization for E-Commerce." In 2025 International Conference on Frontier Technologies and Solutions (ICFTS). IEEE, 2025. https://doi.org/10.1109/icfts62006.2025.11031603.

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Deng, Lixing. "Research on Various New Technologies of Shuttle Tankers and Their Optimization of Offshore Platform-Based Oil Supply Chain." In International Conference on Modern Logistics and Supply Chain Management. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013228400004558.

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Agarwal, Vernika, Khaoula Khlie, Zoubida Benmamoun, et al. "Weaving Sustainability Strategies in Supply Chain: A Carbon Trading Perspective." In 2024 10th International Conference on Optimization and Applications (ICOA). IEEE, 2024. http://dx.doi.org/10.1109/icoa62581.2024.10754005.

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Wen, Yanzhi. "The Optimization of Flood Control Man-Made Channel Systems in Northwest Beijing: Responding to the Challenges of Climate Change and Extreme Weather." In International Conference on Modern Logistics and Supply Chain Management. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013337400004558.

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Tajri, Hayat, and Anas Chafi. "Change management in supply chain: Supply chain urbanization method." In 2018 4th International Conference on Optimization and Applications (ICOA). IEEE, 2018. http://dx.doi.org/10.1109/icoa.2018.8370561.

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Reports on the topic "Optimization of supply chain"

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Barr, Alex. Concurrency Supply Chain Optimization Project Final Report. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1873906.

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Quah, Ves Min. How Does Big Data Bring Optimization To The Supply Chain? Iowa State University, 2024. https://doi.org/10.31274/cc-20250502-18.

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White III, Chelsea C., and Bojan Petrovic. Improvements in SMR Modular Construction through Supply Chain Optimization and Lessons Learned. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1351978.

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de Wild, Hans, Fátima Pereira da Silva, and Mariska Nijenhuis. Fresh on demand, DP4: optimization of the tropical fruit supply chain : Papaya 'Tainung', experiments 2022. Wageningen Food & Biobased Research, 2022. http://dx.doi.org/10.18174/633983.

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de Wild, Hans, Manon Mensink, and Mariska Nijenhuis. Fresh on Demand, DP4: Optimization of the tropical fruit supply chain : Papaya 'Tainung', experiments 2019-2021. Wageningen Food & Biobased Research, 2022. http://dx.doi.org/10.18174/583089.

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Grayson, Nakia R. Supply Chain Assurance:. National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.1800-34.

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Pease, Michael. Supply Chain Traceability:. National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.ir.8536.ipd.

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Iyer, Ananth, Ahmed Soliman, and Amanda Thompson. Indiana Furniture Supply Chain. Purdue University, 2006. http://dx.doi.org/10.5703/1288284313373.

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Badgett, Alex, Joe Brauch, Kyle Buchheit, et al. Water Electrolyzers and Fuel Cells Supply Chain - Supply Chain Deep Dive Assessment. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1871559.

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Fleischer, Mitchell, Ronald Kohler, Thomas Lamb, H. B. Bongiorni, and Nathan Tupper. Shipbuilding Supply Chain Integration Project. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada361426.

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