List of Articles ‎Lean production‎

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  1 - Investigating the impact of lean production factors, agile production, sustainable supply chain and production resilience on sustainable production in the heavy vehicle industry
  Ardalan Hosseini Hasan Mehrmanesh Ahmad Reza Kasraei
  10.30495/imj.2023.1991515.1861
  In the current competitive environment, it is very important to produce and present products of interest to customers in the market so that companies can compete with foreign and domestic competitors, which requires choosing and implementing a suitable and valuable prod More

  In the current competitive environment, it is very important to produce and present products of interest to customers in the market so that companies can compete with foreign and domestic competitors, which requires choosing and implementing a suitable and valuable production strategy in order to achieve a competitive advantage and, more importantly, to make it sustainable. The aim of the Investigating the impact of lean production factors, agile production, sustainable chain and production resilience on sustainable production in the heavy vehicle industry. The mentioned research is descriptive-analytical in terms of its fundamental purpose and research method. In this research, with a review of the theoretical research literature and interviews with experts, the most important dimensions and criteria of sustainability that are effective in production in the company were modeled. In this research, the statistical population is the managers and experts of one of the factories in the heavy automotive industry (Iran Khodro Diesel). Also, in carrying out the simulations of the present research with Vensim software, a time horizon of 5 months was considered and quantitative values and relationships between the variables were also determined using a semi-structured interview. In the present study, four factors of lean production, agile production, sustainable and green supply chain, as well as production resilience were recognized as the main and effective factors on sustainable production in the heavy vehicle industry, which were evaluated and measured in the simulation model, investigation and their effects. Manuscript profile
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  2 - ‎Proposing a Conceptual Model of Critical Success Factors in Lean Production Using Interpretive Structural Modeling and Fuzzy MICMAC Analysis
  Mazdak Khodadadi Karimvand Hadi Shirouyehzad Farhad Hosseinzadeh Lotfi
  10.30495/tfss.2023.1999063.1087
  Since companies are inclined to implement lean production‎, ‎researchers have proposed a number of fundamental success factors to facilitate the implementation of this production approach‎. ‎This study analyzes the critical success factors (CSFs) in lean production extr More

  Since companies are inclined to implement lean production‎, ‎researchers have proposed a number of fundamental success factors to facilitate the implementation of this production approach‎. ‎This study analyzes the critical success factors (CSFs) in lean production extracted from 14 review studies‎. ‎The interpretive structural modeling approach is utilized to analyze the impact of these critical success factors on one another‎. ‎The aim is to enhance insights into lean production and facilitate informed decision-making‎. ‎In this article‎, ‎a seven-tiered model is presented‎. ‎According to the conceptual model of success factors in lean production‎, ‎leadership is positioned at the base of the model and serves as the origin for other factors‎. ‎It should be regarded as the foremost critical success factor in lean production‎. ‎When establishing lean production systems‎, ‎organizations and senior managers should focus on higher levels and critical success factors that underlie the model‎. ‎Subsequently‎, ‎nonfuzzy and fuzzy driving and dependence power analyses were conducted that the fuzzy matrix cross-reference multiplication applied to a classification (MICMAC) analysis provides deeper insights into the analysis of driving and dependence power‎. ‎The fuzzy matrix cross-reference multiplication applied to a classification analysis helped identify some key factors that are highly effective for successfully implementing lean manufacturing‎. Manuscript profile