A decision support system for order acceptance/rejection in hybrid MTS/MTO production systems

Capacity coordination in hybrid make-to-stock/make-to-order contexts using an enhanced multi-stage model

“…Also, Ebadian et al (2009) addressed acceptance/rejection procedure of MTO orders. However, the two most similar papers, compared to this paper, are the ones by Kalantari et al (2011), Rafiei et Rabbani (2012), andKou et al (2016). In the developed model by Kalantari et al (2011), customers were prioritized upon some measures, using two methods AHP and fuzzy TOPSIS, and production capacities were assigned upon the prioritization results.…”

“…They also developed a mathematical model to match the orders with the unfinished inventories. Some issues are notable about the model of Kalantari et al (2011); the proposed matching model worked upon the order forecasts, while it is not acceptable about the coming orders with specific customization to be forecasted (the matching process is considered in make-to-forecast production environment). They assumed all coming orders are negotiable, while it is not the case in the real-world industrial contexts.…”

An Optimal Decision Model of Production-Inventory with MTS and ATO Hybrid Model Considering Uncertain Demand

“…Similarly, (5) shows the addedassembly decision of product 2 in the ATO phase 2 , which is constrained by the quantity of component 3 and demand fulfilment shortage ( 2 , 2 ) + . Equation (6) implies that the total quantities of added products 1 and 2 must not exceed the available inventory of component 4. Equation (7) shows that the quantity of products 1 and 2 is nonnegative.…”

“…Tsubone et al [5] investigated the production-planning system for a combination of MTS and MTO products. Kalantari et al [6] developed a decision support system for order acceptance/rejection in hybrid MTS/MTO production systems. Soman et al [7] reviewed the combined MTO/MTS production situations and developed 2 Mathematical Problems in Engineering a comprehensive hierarchical planning framework.…”

ارائه‌ی مدل ریاضی برای برنامه‌ریزی تولید در محیط‌های تولیدی ترکیبی ساخت ذخیره‌یی ـ سفارشی با درنظرگرفتن فعالیت‌های نگه‌داری و تعمیرات و حل آن با الگوریتم‌های فراابتکاری

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