Article
Green & Sustainable Science & Technology
Valentina Di Pasquale, Raffaele Iannone, Maria Elena Nenni, Stefano Riemma
Summary: Existing models for order allocation mainly consider environmental attributes and neglect economic and social attributes. Therefore, this paper proposes a model for green order allocation in a high operational variability supply chain, which considers uncertainty, limited capacity, minimum levels, and scores of suppliers, as well as emissions related to production, ordering, maintenance, and transport. The validation of the model shows that it achieves lower costs and TBL impacts compared to models that only consider TBL scores in supplier selection, thus helping firms increase sustainability throughout the supply chain.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Automation & Control Systems
Peide Liu, Ayad Hendalianpour, Mahnaz Fakhrabadi, Mohamdreza Feylizadeh
Summary: This paper introduces a multi-objective linear programming model that prioritizes and weighs suppliers using the best-worst method, aiming to solve the challenges of supplier selection and order allocation in supply chain management. By considering multiple objectives and utilizing fuzzy variables, the model effectively determines the number of suppliers and order quantity, maximizing the achievement of each goal.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Feng Li, Chia-Huei Wu, Li Zhou, Guangshu Xu, Yongsheng Liu, Sang-Bing Tsai
Summary: A novel two-stage mathematical model has been developed for selecting suppliers and assigning order quantities, aiming to help enterprises manage uncertainty in SCRM. The approach involves primary selection of alternative suppliers and establishment of a multiobjective mathematical model for dynamic supplier selection and order allocation.
Article
Computer Science, Interdisciplinary Applications
Vinod Kumar Chauhan, Stephen Mak, Ajith Kumar Parlikad, Muhannad Alomari, Linus Casassa, Alexandra Brintrup
Summary: Supplier selection and order allocation are strategic decisions in supply chain management that have a significant impact on supply chain performance. However, the lack of attention to scalability in the SSOA problem has hindered the adoption of SSOA algorithms by industrial practitioners. This paper proposes a novel double order allocation model with dual-sourcing and penalty constraints in a two-tier supply chain, promoting cooperation between suppliers and facilitating supplier preferences through bidding. Mixed-Integer Programming models and Genetic Algorithm approaches are proposed to solve the problem. A case study demonstrates the effectiveness of the model, showing that Mathematical Programming outperforms Genetic Algorithm in solving SSOA. The model has been successfully deployed in a large international sourcing conference, resulting in significant procurement cost reductions for a manufacturing company.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Raja Awais Liaqait, Salman Sagheer Warsi, Taiba Zahid, Usman Ghafoor, Muhammad Shakeel Ahmad, Jeyraj Selvaraj
Summary: The study highlights the importance of product cost, environmental management system, and health and safety rights of employees in sustainable supplier selection and order allocation in the multi-echelon renewable energy equipment supply chain. The results of the mathematical model emphasize the impact of multimodal transportation on overall cost, time, and environmental impact. Transfer cost, customer clearance cost, and defect rate were identified as significant factors in supplier selection and order allocation.
Article
Operations Research & Management Science
Dawoon Jung, Bosung Kim, Seung Ho Yoo
Summary: In response to dynamic market conditions, manufacturers are increasingly focusing on inducing collaboration between suppliers to share problem-solving ideas, technical advice, and managerial knowledge. However, supplier-supplier collaboration can be challenging if the suppliers compete for the same order. This study explores how a manufacturer can leverage order allocation policies to facilitate collaboration between competing suppliers.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Md. Tanweer Ahmad, Mohammad Firouz, Sandeep Mondal
Summary: This paper investigates the supplier-selection and order-allocation problem in a two-echelon make-to-order supply chain and incorporates the Taguchi Method of Tolerance Design into the model. The results of a real-world case study demonstrate the feasibility and effectiveness of the method.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Arash Khalili Nasr, Madjid Tavana, Behrouz Alavi, Hassan Mina
Summary: Maximizing resource value and minimizing waste are crucial for sustainability and competitive advantage. This study presents a novel two-stage fuzzy supplier selection and order allocation model in a sustainable closed-loop supply chain, aiming to minimize costs and environmental impacts while maximizing job opportunities and sustainable supplier purchases through various optimization methods.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Interdisciplinary Applications
Zahra Sadat Hosseini, Simme Douwe Flapper, Mohammadali Pirayesh
Summary: This paper addresses the issue of sustainable supplier selection in supply chain management. It proposes a hybrid method for evaluating and ranking suppliers, and presents a bi-objective mathematical model to balance sustainability and economic cost. The proposed approach is compared with existing methods and sensitivity analysis is conducted to assess its effectiveness and advantages.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
A. Bakhtiari Tavana, M. Rabieh, M. S. Phishvaee, M. Esmaeili
Summary: This study aims to select a set of resilient suppliers and ensure optimal demand allocation in an automotive supply chain. The proposed model and method consider the delivery performance of suppliers and reduce the number of disruption scenarios. The research results indicate that contingency planning and supply chain regionalization can reduce the risk of supply chain disruption.
Article
Green & Sustainable Science & Technology
Victoria Muerza, Luca Urciuoli, Sebastian Zapata Habas
Summary: This paper develops a simulation model to evaluate the performance of an IBLC in Spain. Results show increased profits of about 55.7% and reduced environmental emissions of 24.2% per tonne of bio-commodity produced. The scientific contribution lies in the dynamic supplier selection model based on social, environmental, and economic criteria, as well as the integration of supplier selection and operations evaluation for the IBLC.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Artificial Intelligence
Liangcheng Xu, Xiaojian Hu, Yue Zhang, Jingsheng Feng, Suizhi Luo
Summary: In this paper, a multiobjective team optimization model is proposed to tackle the issues of information vagueness and uncertainty in order demand, logistics service provider (LSP) service capacity, and target preference in emergency events in the customized logistics service supply chain. Fuzzy objective coefficients, fuzzy constraint parameters, and a fuzzy single objective weighting technique are introduced to reflect the decision-maker preferences and satisfaction level. Sensitivity analysis is conducted to explore the effects of fuzzy coefficients and parameters on the decision-making process.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Engineering, Multidisciplinary
Z. Ebrahim Qazvini, A. Haji, H. Mina
Summary: This study proposes an integrated two-stage approach for supplier selection and order allocation in green supply chain, using FAHP and multi-objective mixed-integer linear programming methods, considering uncertainties. The results will validate the efficiency of the proposed model.
Article
Computer Science, Artificial Intelligence
Elham Esmaeili-Najafabadi, Nader Azad, Mohammad Saber Fallah Nezhad
Summary: This paper introduces a mixed-integer non-linear programming model for supplier selection and order allocation in a centralized supply chain, with a focus on geographical characteristics and disruption risks. It explores the differences in decision maker behavior between risk-neutral and risk-averse models, using various risk assessment tools for analysis. The study shows the impact of decision maker's attitude on supplier selection and order quantity, and compares solution approaches for efficiency.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Operations Research & Management Science
Hamzeh Amin-Tahmasbi, Sina Sadafi, Banu Y. Ekren, Vikas Kumar
Summary: This study proposes a mixed-integer multi-objective integrated mathematical model for solving facility location and order allocation optimization problems in a two-echelon supply chain network. The model considers multiple objective functions, including cost minimization, rejected and late delivery unit minimization, and maximization of the assessment score of selected suppliers. This study is significant for cost-efficient management of companies' supply chain networks.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Alex J. Ruiz-Torres, Nelson Alomoto, Giuseppe Paletta, Eduardo Perez
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2015)
Article
Engineering, Manufacturing
Ivar Massabo, Giuseppe Paletta, Alex J. Ruiz-Torres
JOURNAL OF SCHEDULING
(2016)
Article
Engineering, Industrial
Alex J. Ruiz-Torres, Giuseppe Paletta, Rym M'Hallah
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2017)
Article
Operations Research & Management Science
Johnny C. Ho, Ivar Massabo, Giuseppe Paletta, Alex J. Ruiz-Torres
4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH
(2019)
Article
Computer Science, Interdisciplinary Applications
Alex J. Ruiz-Torres, Giuseppe Paletta, Farzad Mahmoodi, Jose H. Ablanedo-Rosas
COMPUTERS & INDUSTRIAL ENGINEERING
(2018)
Article
Computer Science, Interdisciplinary Applications
Alex J. Ruiz-Torres, Giuseppe Paletta, Eduardo Perez
COMPUTERS & OPERATIONS RESEARCH
(2013)
Article
Green & Sustainable Science & Technology
Alex J. Ruiz-Torres, Farzad Mahmoodi, Shunichi Ohmori
JOURNAL OF CLEANER PRODUCTION
(2019)
Article
Computer Science, Interdisciplinary Applications
Alex J. Ruiz-Torres, Jose H. Ablanedo-Rosas, Somnath Mukhopadhyay, Giuseppe Paletta
COMPUTERS & INDUSTRIAL ENGINEERING
(2019)
Article
Engineering, Industrial
Alex J. Ruiz-Torres, Giuseppe Paletta, Belarmino Adenso-Diaz
Summary: This study focuses on a two-stage hybrid flowshop problem with secondary resources, aiming to minimize average tardiness. Two versions of the problem were studied, and a set of heuristics were proposed. Experimental results showed that the proposed heuristics performed well on small instances, but their effectiveness on large instances depended on experimental factors.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Alex J. Ruiz-Torres, Farzad Mahmoodi, Markku Kuula
COMPUTERS & OPERATIONS RESEARCH
(2017)
Article
Engineering, Industrial
Francisco J. Lopez, Johnny C. Ho, Alex J. Ruiz-Torres
JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING
(2016)
Review
Economics
Alex J. Ruiz-Torres, Jorge Ayala-Cruz, Nelson Alomoto, Jose L. Acero-Chavez
ESTUDIOS GERENCIALES
(2015)
Article
Engineering, Industrial
Anthony Cossari, Johnny C. Ho, Giuseppe Paletta, Alex J. Ruiz-Torres
JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING
(2013)
Article
Business
Alex J. Ruiz-Torres, Guillermo Cardoza, Markku Kuula, Yuritza Oliver, Henry Rosa-Polanco
ACADEMIA-REVISTA LATINOAMERICANA DE ADMINISTRACION
(2018)
Article
Computer Science, Interdisciplinary Applications
Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng
Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji
Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou
Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)