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Logistics Make-To-Order Manufacturing For Time Research Proposal

In fact it would have been better to have included convex transportation networks (473) and a corollary for just-in-time inventory management and constraints-based inventory optimization for make-to-order manufacturing (Hadas, Cyplik, Fertsch, 2009). Product definition ambiguity, manufacturing scheduling variations, supply chain incremental costs due to lack of accuracy in the form of rush charges and inventory management costs and the latency of serial vs. network-based supply chains for make-to-order manufacturing define the models used for cost-based metrics according to benchmarking analysis by Guiffrida, Jaber and Rzepka (150). Make-to-order manufacturing's profitability needs to be defined more thoroughly as a metric, with Guiffrida, Jaber, and Rzepka having set the foundation for this analysis (149). Theories of constraint applied to the wide variation in product certainty vs. ambiguity, presence or absence of serially-based vs. convex network-based supply networks, stock upper bounds and the often-used assumption of unimodal production costs all need greater clarification in the form of cost and time-based metrics. Included in these metrics must be a demand component, which is ironically absent from models seeking to optimize make-to-order manufacturing workflows. The exception being the models of price quotation as defined by ElHafsi (357) and defining cost constraints of delivery variance (Jaruphongsa, Cetinkaya, Lee, 2004). Applying the Theory of Constraints (TOC),...

With greater integration to financial systems the unimode pricing models and unitary or simple distribution of supply chain reaction times will eventually reflect the unique characteristics of a given manufacturers" supplier base. Quantifying the reduction in time window scheduling errors (152) can also serve as a means to validate and fine-tune model assumptions (Guiffrida, Jaber, Rzepka, 2008)
References

Mohsen ElHafsi. 2000. An operational decision model for lead-time and price quotation in congested manufacturing systems. European Journal of Operational Research 126, no. 2, (October 16): 355-370

Hadas, L., P. Cyplik, and M. Fertsch. 2009. Method of buffering critical resources in make-to-order shop floor control in manufacturing complex products. International Journal of Production Research 47, no. 8,

(January 1): 2125.

Guiffrida, a., M. Jaber, and R. Rzepka. 2008. An Economic Model for Justifying the Reduction of Delivery Variance in an Integrated Supply Chain.

INFOR 46, no. 2, (May 1): 147-153.

Wikrom Jaruphongsa, Sila Cetinkaya, and Chung-Yee Lee. 2004. Warehouse space capacity and delivery time window considerations in dynamic…

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References

Mohsen ElHafsi. 2000. An operational decision model for lead-time and price quotation in congested manufacturing systems. European Journal of Operational Research 126, no. 2, (October 16): 355-370

Hadas, L., P. Cyplik, and M. Fertsch. 2009. Method of buffering critical resources in make-to-order shop floor control in manufacturing complex products. International Journal of Production Research 47, no. 8,

(January 1): 2125.

Guiffrida, a., M. Jaber, and R. Rzepka. 2008. An Economic Model for Justifying the Reduction of Delivery Variance in an Integrated Supply Chain.
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