Viable logistic planning: a prescriptive analysis based on seasonal capacity layoff, stress tests, and sensitivity analysis DOI

Setareh Najafi-Moallem,

Arash Nemati, Abdollah Arasteh

и другие.

International Journal of Management Science and Engineering Management, Год журнала: 2024, Номер unknown, С. 1 - 18

Опубликована: Дек. 31, 2024

Known seasonal fluctuations and sudden shocks in transportation cost capacity have not been concentrated the supply chain planning. Accordingly, this paper contributes to including logistics planning by proposing a new multi-period, multi-season mixed-integer linear mathematical model, incorporating simultaneous, dissimilar of supply, raw materials transportation, production, product demand. In addition, temporary layoffs unused capacities are formulated as viability strategy. Furthermore, prescriptive analysis is proposed based on sensitivity stress tests. The results solving model case study from automobile plastic parts manufacturing industry using CPLEX solver demonstrated need for 28, 24, 10, 24 layoff cases shipping, shipping capacities, respectively, reach viability. Also, recommend more accurate demand forecasting, especially significant items. Additionally, various tests production capacity, underscore necessity agile outsourcing significance inventory addressing disruptions.

Язык: Английский

Designing a sustainable and smart supply chain considering a green computing approach in the post-COVID period DOI
Sina Abbasi,

Ehsan Soltanifar,

Dariush Tahmasebi Aghbelaghi

и другие.

Sustainable Computing Informatics and Systems, Год журнала: 2025, Номер unknown, С. 101117 - 101117

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Viable logistic planning: a prescriptive analysis based on seasonal capacity layoff, stress tests, and sensitivity analysis DOI

Setareh Najafi-Moallem,

Arash Nemati, Abdollah Arasteh

и другие.

International Journal of Management Science and Engineering Management, Год журнала: 2024, Номер unknown, С. 1 - 18

Опубликована: Дек. 31, 2024

Known seasonal fluctuations and sudden shocks in transportation cost capacity have not been concentrated the supply chain planning. Accordingly, this paper contributes to including logistics planning by proposing a new multi-period, multi-season mixed-integer linear mathematical model, incorporating simultaneous, dissimilar of supply, raw materials transportation, production, product demand. In addition, temporary layoffs unused capacities are formulated as viability strategy. Furthermore, prescriptive analysis is proposed based on sensitivity stress tests. The results solving model case study from automobile plastic parts manufacturing industry using CPLEX solver demonstrated need for 28, 24, 10, 24 layoff cases shipping, shipping capacities, respectively, reach viability. Also, recommend more accurate demand forecasting, especially significant items. Additionally, various tests production capacity, underscore necessity agile outsourcing significance inventory addressing disruptions.

Язык: Английский

Процитировано

0