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Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0.

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Title: Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0.
Authors: Reyes, John1,2 (AUTHOR), Mula, Josefa1 (AUTHOR) fmula@cigip.upv.es, Diaz-Madroñero, Manuel1 (AUTHOR)
Source: International Journal of Production Research. Sep2024, Vol. 62 Issue 17, p6251-6275. 25p.
Subjects: Supply chain disruptions, Lean management, Material requirements planning, Sustainability, Linear programming
Abstract: Validated quantitative models for lean supply chain planning (LSCP) are still scarce in the literature, particularly because conventional push systems have not been widely integrated and tested with pull systems in sustainable and resilient environments in the Industry 4.0 context. Hence the main contribution of this paper is to develop an optimisation model that is able to contribute to the LSCP with the combination of push and pull strategies. Here we present an integrated just-in-time (JIT) production system with material requirement planning (MRP) for a SC that takes a traditional five-level structure based on a mixed-integer linear programming model (MILP) dubbed as LSCP 4.0. The model is able to simultaneously plan the production and inventory of materials and finished goods to satisfy demand from forecasts and firm orders. The selection of alternative suppliers as a proactive measure to face disruptive events is also considered. Furthermore, sustainable practices are included in the objective function for profit maximisation by considering CO2 emissions. This proposal is tested in the footwear sector. The results demonstrate that the combined use of JIT and MRP through a quantitative approach improve performance in leanness, sustainability and resilience by decreasing the bullwhip effect at different SC levels. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0.
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  Data: <searchLink fieldCode="AR" term="%22Reyes%2C+John%22">Reyes, John</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mula%2C+Josefa%22">Mula, Josefa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fmula@cigip.upv.es</i><br /><searchLink fieldCode="AR" term="%22Diaz-Madroñero%2C+Manuel%22">Diaz-Madroñero, Manuel</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Sep2024, Vol. 62 Issue 17, p6251-6275. 25p.
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  Data: <searchLink fieldCode="DE" term="%22Supply+chain+disruptions%22">Supply chain disruptions</searchLink><br /><searchLink fieldCode="DE" term="%22Lean+management%22">Lean management</searchLink><br /><searchLink fieldCode="DE" term="%22Material+requirements+planning%22">Material requirements planning</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+programming%22">Linear programming</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Validated quantitative models for lean supply chain planning (LSCP) are still scarce in the literature, particularly because conventional push systems have not been widely integrated and tested with pull systems in sustainable and resilient environments in the Industry 4.0 context. Hence the main contribution of this paper is to develop an optimisation model that is able to contribute to the LSCP with the combination of push and pull strategies. Here we present an integrated just-in-time (JIT) production system with material requirement planning (MRP) for a SC that takes a traditional five-level structure based on a mixed-integer linear programming model (MILP) dubbed as LSCP 4.0. The model is able to simultaneously plan the production and inventory of materials and finished goods to satisfy demand from forecasts and firm orders. The selection of alternative suppliers as a proactive measure to face disruptive events is also considered. Furthermore, sustainable practices are included in the objective function for profit maximisation by considering CO2 emissions. This proposal is tested in the footwear sector. The results demonstrate that the combined use of JIT and MRP through a quantitative approach improve performance in leanness, sustainability and resilience by decreasing the bullwhip effect at different SC levels. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/00207543.2024.2312205
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      – Code: eng
        Text: English
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        PageCount: 25
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        Type: general
      – SubjectFull: Lean management
        Type: general
      – SubjectFull: Material requirements planning
        Type: general
      – SubjectFull: Sustainability
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      – SubjectFull: Linear programming
        Type: general
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      – TitleFull: Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0.
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            – D: 01
              M: 09
              Text: Sep2024
              Type: published
              Y: 2024
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