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@article{185576,
        author = {N.NARESH and R.S. KIRAN},
        title = {INTEGRATED PRODUCTION PLANNING AND SCHEDULING IN MULTI-STAGE BATCH PROCESSING SYSTEMS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {1993-2003},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185576},
        abstract = {This research addresses the integrated problem of production planning and scheduling in a complex multi-stage, multi-product, multi-machine batch production environment, typical of industries such as chemicals, food, glass, pharmaceuticals and tyres. These industries are increasingly challenged by high product variety, low volumes, variable demand and short planning cycles, often resulting in excess inventory and poor capacity utilisation. The study considers production settings where raw materials, intermediate products, by-products and recycled materials interact across multiple stages, with equipment shared across products. The environment is characterised by perishability of products, high set-up times, transfer lot sizes, and deterministic demand over a finite horizon. The decisions involve determining production quantities, inventory levels, aggregate capacity requirements and detailed schedules at minimum cost.
A sequence of mathematical models is developed to address these decisions. A mixed-integer programming (MIP) model is proposed for production planning with the objective of minimising inventory, set-up and raw material costs, while determining aggregate capacity needs. A variant model integrates sales and production planning under market constraints. For scheduling, an MIP model is formulated to generate equipment-wise schedules, minimising earliness and tardiness penalties. Heuristics and analytical results are developed for flow shop scheduling problems with common due dates, while intermediate products are scheduled using job shop heuristics with re-entrant flows.},
        keywords = {},
        month = {October},
        }