Bottling scheduling and inventory control to study the effective green investment and preservation cost under single filling station

Nabajyoti Bhattacharjee (), Nabendu Sen (), C. K. Jaggi () and Pradosh Kian Nath ()
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Nabajyoti Bhattacharjee: Pandit Deendayal Upadhyaya Government Model College
Nabendu Sen: Assam University Silcar
C. K. Jaggi: University of Delhi
Pradosh Kian Nath: Assam University

International Journal of System Assurance Engineering and Management, 2025, vol. 16, issue 11, No 13, 3743-3757

Abstract: Abstract The Bottling Scheduling Problem (BSP) plays a crucial role in ethanol production, as efficiently managing the bottling line is key to minimizing costs. Traditionally, many studies have focused on optimizing the bottling schedule without fully accounting for important factors such as changeover times and the costs associated with changeovers. Additionally, real-world considerations like defective bottles, carbon emissions from ethanol tanks, and preservation technology costs have often been overlooked in previous research on bottling scheduling. In this work, we aim to address these gaps by developing a more comprehensive multistage Bottling Scheduling Problem. Our objective is to minimize the average total cost related to both bottling and the management of empty bottle inventories. Several critical factors are incorporated into the model, including carbon tax, preservation technology cost (PTC), green investments, and the expenses incurred from changeovers and idle time. By integrating these elements, the approach provides a more holistic view of the bottling scheduling process. A solution procedure is proposed to determine the optimal values of key parameters, such as the selling price, preservation technology costs, and green investment, in order to minimize the total average cost. Furthermore, the bottling plan is structured around two key dimensions: the macro-period and the micro-period, ensuring a detailed and optimized scheduling framework for efficient production and cost management. The model is solved with two variants of PSO and graphical convergence method is considered in the model. Results obtain are discussed along with some managerial insights and limitations.

Keywords: Bottling scheduling; Inventory of empty bottles; Macro-period; Micro-period; Optimization; Carbon tax; Green investment; Preservation (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s13198-025-02891-5

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