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Industrial Management Journal
ISSN 3115-7386 · University of Tehran Press · 59 artikel di indeks
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Artikel Jurnal Teks lengkap
Assessing the effects of Human–Cyber–Physical Systems on Machine Reliability: An Agent-Based Simulation Approach
Objective: This study develops a quantitative Human–Cyber–Physical Systems (HCPS) framework to investigate how interactions among human operators, cyber systems, and physical assets influence machine reliability and maintenance performance in Industry 5.0.Methodology: An agent-based modeling (ABM)…
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The Causal Architecture of Blockchain-Enabled Performance in Humanitarian Supply Chains
Objective: To identify and prioritize blockchain technology (BT) facilitators for humanitarian supply chains and to develop a causal relationship model linking these facilitators to SCOR-based humanitarian supply chain performance attributes using a multi-objective intuitionistic fuzzy cognitive…
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Blockchain-Driven Supply Chain Management: A Systematic Literature Review and Research Agenda
Objective: The objective of this research is to systematically investigate and analyze the connection between technology management and blockchain technology (BT) by exploring research trends and identifying gaps within the scientific literature.Methodology: To fulfill this objective, a qualitative…
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An Integrated PMBOK-Based Mixed-Integer Optimization Framework for Rescue-Robot Projects
Objective: This study proposes a novel integrated Mixed-Integer Programming (MIP) framework for managing complex engineering projects in alignment with PMBOK principles. Unlike conventional approaches that address project management knowledge areas independently, the proposed model simultaneously…
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Digital Transformation in B2B Marketing: A Causal Network Analysis of Factors on the Metaverse
Objective: This study aims to bridge the gap in empirical research concerning the factors influencing the adoption of the “Industrial Metaverse” within Business-to-Business (B2B) marketing in developing economies. Specifically, it focuses on the Iranian industrial sector to model the complex causal…
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A Scenario-Based Multi-Objective Mathematical Model for the Location-Allocation of Facilities in a Sustainable and Resilient Health Tourism Supply Chain
Objective: Given the rapid expansion of the health tourism industry and the imperative to ensure service continuity under abnormal and disruptive conditions, the design of a supply chain that simultaneously incorporates sustainability and resilience considerations has become critical. This study…
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Analyzing Barriers to the Adoption of Climate-Smart Agriculture (CSA) by Farmers: An Application of UTAUT and Decomposed Fuzzy Approach
Objective: Due to climate change, climate-smart agriculture (CSA) is one response to the impacts of climate change, which affect agriculture especially in developing countries. As in other sustainability transitions, technological innovation plays a vital role in implementing CSA. However…
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Transparency in the Food Supply Chain: Conceptual Clarification and Identification of Key Dimensions Based on a Systematic Review
Objective: The increasing complexity and globalization of food supply chains, along with challenges such as food safety incidents, price volatility, difficulties in tracing product origins, and widespread food loss and waste, have further highlighted the necessity of enhancing…
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Evaluating Disruption Management Strategies for Freight Logistics in Oman: A Simulation Modeling Approach
Objective: The logistics and transportation networks in the GCC, particularly in Oman, face unique problems due to the region's geographical complexity, the value of transported goods, and the significance of timely deliveries. Operating in a highly competitive environment, businesses in this…
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Key Barriers to Achieving Innovation in Edible Oil Companies: An Importance–Performance Map Analysis (IPMA) in a Developing Country
Objective: This study aimed to identify innovation barriers in Iranian edible oil manufacturing companies, screen the most relevant barriers, and prioritize them for improvement and resolution.Methodology: A literature review and expert interviews were conducted to identify 33 innovation barriers…
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Ambidextrous Market Orientation and Innovation Performance: The Mediating Role of Entrepreneurial Capabilities
Objective: Innovation performance is a critical source of competitive advantage for knowledge-intensive firms operating in emerging markets. This study investigates how ambidextrous market orientation (AMO)—the simultaneous pursuit of exploratory and exploitative market strategies—affects…
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Integrated Assortment–Shelf Optimization under Substitution and Space Elasticity: A Hybrid Memetic Algorithm
Objective: This study maximizes expected retail profit by jointly optimizing product assortment and shelf-space allocation, considering substitution effects and space-elastic demand. The problem’s NP-hardness, compounded by category-level bounds and store capacity, renders exact methods impractical…
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Evaluating Financial Performance of Exchange-Listed Companies with Integrated DEA and Malmquist Index
Objective: A stock exchange is a formal market where companies' shares are traded. Therefore, examining the efficiency of companies listed on the stock exchange is of significant importance. One of the main shortcomings of existing financial performance evaluation methods is their emphasis on a…
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Evaluating Blockchain Technology Implementation Risks in the Automotive Industry: A Fuzzy Decision-Making Approach
Objective: This study aims to identify and prioritize the potential risks associated with adopting blockchain technology in the supply chain of Small and Medium-sized Enterprises (SMEs) operating in the automotive industry.Methodology: A fuzzy Multi-Criteria Decision-Making (MCDM) approach is…
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ED-ELEC: A Robust Multi-Criteria Decision-Making Framework for Evaluating Sustainable Urban Delivery Systems
Objective: The rapid expansion of online food delivery platforms has intensified the need for sustainable and efficient logistics solutions. Evaluating delivery alternatives across economic, environmental, technical, and social dimensions requires robust multi-criteria decision-making (MCDM) tools…
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Integrating Stock Levels into Demand Forecasting and Discount Optimization for Retail
Objective: Accurate sales forecasting is crucial for inventory management and supply chain planning in retail settings with high product variety, short life cycles, and volatile demand. Errors cause excess stock, stock-outs, lost sales, suboptimal promotions, higher costs, reduced customer…
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A Systematic Review of Project Scheduling Models under Renewable Resource Constraints and Uncertainty
Objective: This study aims to develop a comprehensive resource-constrained project scheduling model (RCPSP) that accounts for uncertainty in activity durations and resource availability, thereby addressing the limitations of deterministic approaches.Methodology: A mathematical formulation of the…
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A Model of Export Marketing Performance for SMEs: The Role of Fourth-Generation Technology in the Medical Equipment Industry
Objective: This study aims to develop a comprehensive model to identify the key Industry 4.0–driven drivers influencing export marketing performance in Iranian medical equipment small and medium-sized enterprises (SMEs).Methodology: This research is quantitative and application-oriented, employing…
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Smart Maintenance in the Cement Industry: A Meta-Synthesis of Industry 4.0 Technologies and Applications
Objective: The cement industry, vital to infrastructure and the economy, faces challenges such as high energy use, significant environmental emissions (nearly a ton per ton of cement), high costs, and unplanned downtime. Traditional maintenance methods are often inefficient and costly…
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AI-Powered Supply Chains: Mapping the Future of Resilience and Sustainability
Objective: This study aims to present a bibliometric mapping of artificial intelligence applications in supply chain management.Methodology: Performance analysis and scientific mapping are used based on 805 Scopus-indexed journal articles published between 1996 and 15 March 2025.Three research…