• Multi-objective Design of Sustainable Closed-loop Supply Chain Considering Social Benefits: Metaheuristic Optimization Approaches 

  Hashemzahi, Pooria؛ Mohammadi, Mohammad؛ Atabaki, Mohammad Saeid (2024-05-01)

  In line with growing global concerns regarding environmental and social issues, supply chaincorporations are improving their environmental and social performances. The optimal design of a closedloop supply network must ...

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• Sustainable supplier selection and order allocation based on stochastic programming and dynamic programming 

  Sadat Hosseini, zahra؛ Fallahnezhad, Mohammad Saber؛ Pourmohammadi, hamid (2024-05-01)

  In recent years, supplier selection (SS) has been one of the fundamental issues in the supply chain(SC). Sustainable suppliers are selected based on the quantitative and qualitative evaluation of economic,environmental, ...

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• Production-assembly problem with parallel machines in three steps and in distributed factories 

  Torkashvand, Mohsen؛ Ahmadizar, Fardin (2024-05-01)

  Distributed factories represent a type of manufacturing system in which production is spread outacross multiple geographically dispersed locations. This approach offers several advantages, includingreduced transportation ...

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• Fuzzy multi-objective programming to optimize closed-loop supply chain problem considering cloud management 

  Ebrahimi, malihe (2024-05-01)

  Nowadays, competition is growing therefore, it is essential to try to form proper communicationsand reduce the price of the production along with increasing its quality. A supply chain, especially a closedloop supply chain ...

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• Data management in upstream industries and supply chain and value chain: A collection of theories in the oil and gas industry 

  Hasan-Zadeh, Atefeh؛ Kazemzadeh, Yousef؛ fathi aghbolagh mostafa khan, mohsen؛ Amiri Ghazghapan, Ali (2024-05-01)

  The present paper explains the qualitative reasons for the importance of data management inupstream oil and gas. It also provides small and concrete examples in which data management can effectivelyincrease value creation ...

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• A Mixed-Integer Nonlinear Programming Model for Solving Integrated Oil and Gas Supply Chain Problem by Considering Enhanced Oil Recovery Methods 

  Ardestani, Raheleh؛ Mehdizadeh, Esmaeil؛ Etebari, Farhad (2024-05-01)

  This paper presents a model to solve a multi-objective optimization problem for optimal oil fielddevelopment and supply chain management (SCM) of oil and gas, considering Enhanced Oil Recovery (EOR)methods in both upstream ...

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• A new composite index for improved capability analysis of profile coefficients 

  Pakzad, Aylin (2023-12-01)

  A simple linear profile (SLP) is a type of quality profile that describes the relationship between a response variable and an explanatory variable using a linear function. This concept is relevant in various industrial ...

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• Monitoring Serially Correlated Data by Two CUSUM Charts (Case Study: Numbers of Patients with Covid-19) 

  Hakimi, Ahmad؛ Farughi, Hiva؛ Arkat, Jamal (2023-12-01)

  Statistical process control charts are utilized in many industries, including manufacturing, environmental monitoring and improvement, disease surveillance, and others. The use of statistical process control charts is ...

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• Development of a simulation-based optimization approach to integrate condition-based maintenance, production control and control chart design in deteriorating production processes 

  Hadian, Seyed Mohammad؛ Farughi, Hiwa؛ Rasay, Hasan؛ Talebi Ghadikolaei, Hadi (2023-12-01)

  A statistical model is proposed to schedule maintenance actions, control the inventory, and design a proper control chart in unreliable manufacturing systems. Process deterioration can lead to quality degradation and affect ...

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• Designing a Mathematical Model for Two-Echelon Allocation-Routing Problem by Applying the Route and Transportation Fleet Conditions 

  Yadegari, Zahra؛ Hadji Molana, Seyyed Mohammad؛ Husseinzadeh Kashan, Ali؛ Najafi, Seyed Esmaeil (2023-12-01)

  A novel mixed integer non-linear mathematical model is presented in this paper for the two-echelon allocation-routing problem by applying the conditions of the route and transportation fleet under uncertainty. The cost of ...

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• Designing a Closed-loop Green Supply Chain Network Considering Quality Costs of Raw Materials in a Fuzzy Environment 

  Talebzadeh, Mahya؛ Ghodratnama, Ali؛ Tavakkoli-Moghaddam, Reza (2023-12-01)

  When the reverse supply chain—which comprises the steps involved in bringing a product back into the supply chain, such as its collection, recycling, and destruction—is taken into account alongside the forward supply chain, ...

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• A bi-objective cash-in-transit pick-up and delivery problem with risk assessment methodology: a case study 

  Ramezanian, Reza؛ Arjomandfar, Meysam؛ Abbasi, Darya (2023-12-01)

  In this paper, the Risk-constrained Cash-In-Transit Vehicle Routing Problem (RCITVRP) is addressed with time windows, pickups, and deliveries. It is crucial for Cash-In-Transit (CIT) companies involved in transporting ...

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• An interval-valued fuzzy MULTIMOOSRAL method for supplier evaluation in oil production projects 

  Barzegari, M. J.؛ Mousavi, Seyed Meysam؛ Karami, S. (2023-05-01)

  Meticulous project planning is pivotal for ensuring successful project outcomes, with strategic decision-making being a core component of this process. Among these decisions, selecting the right contractor is of paramount ...

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• Robust Phase I monitoring of Poisson Regression Profiles in Multistage Processes 

  sogandi, fatemeh (2023-05-01)

  The challenge of monitoring and controlling processes where the response variable follows a Poisson distribution, rather than a normal distribution, is addressed in this paper. The significant impact of outliers on model ...

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• Designing a Green-Resilient Supply Chain Network for Perishable Products Considering a Pricing Reduction Strategy to Manage Optimal Inventory: A Column Generation-based Approach 

  Hemmati, Hossein؛ Baradaran Kazemzadeh, Reza؛ Nikbakhsh, Ehsan؛ Nakhai Kamalabadi, Isa (2023-05-01)

  This paper aims to design an integrated green supply chain by considering several drivers of resiliency for perishable products. Supply chain resiliency seeks to prevent the chain from moving toward unfavorable conditions ...

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• Predicting Project Delays Using New Trended Regression Tree Method 

  Movafaghpour, Mohamad (2023-05-01)

  gas distribution projects in Iran between 2015 and 2020. A series of predictive models have been reviewed and evaluated for delay risk prediction such as k-Nearest Neighbor (k-NN) Regression, Regression Trees (RT), Support ...

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• Optimizing Open Shop Scheduling: Minimizing Makespan through Whale Optimization Algorithm and Transportation Time Consideration 

  Enayati, Morteza؛ yousefi nejad attari, mahdi؛ Lotfian Delouyi, Fahime (2023-05-01)

  This paper addresses the open shop scheduling problem, considering parallel machines within each stage and integrating job transportation times between stages, independent of job specifics. In this scheduling problem, all ...

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• Modeling Critical Resource Allocation and Sharing under Pandemic Situation 

  Heyhat, Shaghayegh؛ Rahmani, Donya (2023-05-01)

  During pandemics and epidemics, healthcare systems may respond quickly to massive increases in demand by establishing surge capacity in facilities. However, adding new resources may not be the most effective approach. Given ...

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• Monitoring of simple linear profiles and change point estimation in the presence of within-profile ARMA autocorrelation 

  Fakhimi Kazemi, Hooman؛ Ahmadi, Orod؛ Izadbakhsh, Hamidreza (2023-05-01)

  In statistical process control applications, the quality of certain processes or products can be accurately described by either a univariate or multivariate distribution. Nonetheless, in certain instances, the quality of ...

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• Developing a new formulation and exact solution approach for continuous-time optimal control model: application to coordinating a supplier-manufacturer supply chain 

  Hasan-Zadeh, Atefeh (2023-05-01)

  Supply chain coordination deals with the joint efforts of supply chain parties and making optimal global decisions, which in turn can improve the overall performance and efficiency of the entire supply chain. In many cases, ...

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