A capacity-driven approach to establish reliable due dates in a MTO environment

Corti, Donatella; Pozzetti, Alessandro; Zorzini, Marta

doi:10.1016/j.ijpe.2005.03.003

Cited by 55 publications

(33 citation statements)

References 25 publications

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“…Another key issue that is highlighted in the literature for MTO companies is the due date (DD) setting at the tendering stage [12]. The high variability and incomplete historical data on lead times in MTO companies make the assessment of due dates very difficult [6].…”

Section: Mto Companies and Their Internal Supply Chainmentioning

confidence: 99%

Investigation of Effectiveness of Order Review and Release Models in Make to Order Supply Chain

Kundu

Staudacher

2016

MATEC Web Conf.

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Abstract. Nowadays customisation becomes more common due to vast requirement from the customers for which industries are trying to use make-to-order (MTO) strategy. Due to high variation in the process, workload control models are extensively used for jobshop companies which usually adapt MTO strategy. Some authors tried to implement workload control models, order review and release systems, in non-repetitive manufacturing companies, where there is a dominant flow in production. Those models are better in shop floor but their performances are never been investigated in high variation situations like MTO supply chain. This paper starts with the introduction of particular issues in MTO companies and a general overview of order review and release systems widely used in the industries. Two order review and release systems, the Limited and Balanced models, particularly suitable for flow shop system are applied to MTO supply chain, where the processing times are difficult to estimate due to high variation. Simulation results show that the Balanced model performs much better than the Limited model if the processing times can be estimated preciously.

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Section: Mto Companies and Their Internal Supply Chainmentioning

confidence: 99%

Investigation of Effectiveness of Order Review and Release Models in Make to Order Supply Chain

Kundu

Staudacher

2016

MATEC Web Conf.

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“…Reference [3] introduced a model which supports decision makers by verifying a customer required due date, whereby potential and already confirmed orders with different probabilities are compared with the actual level of available capacity. A two stage capacity check is applied, where in the first step all resources required by the new order are checked for occurring overloads without the new order.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This is followed by a second overload test by including the additional capacity of the new order. Moreover [3] assumed deterministic processing times.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Reference [17] and [18] developed a material based approach. Reference [3] established a model where orders are divided into different probabilities of occurrence.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The difference to [3] is that no explicit future orders are considered but only certain future capacity leads are used for the capacity setting. This means we anticipate future demand also with shorter customer required lead time than the orders already being in the production system.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Customer Driven Capacity Setting

Hübl

Altendorfer

Jodlbauer

et al. 2010

IFIP Advances in Information and Communication Technology

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Abstract. The purpose of this article is to develop a method for short and medium term capacity setting decisions for providing a market oriented level of available capacity for the investigated machine groups. An MTO (make to order) production system is considered. The basic concept is that the cumulative available capacity of the machine group has to be greater than or equal to the cumulative needed capacity influenced by the customer orders. The cumulative needed capacity is corrected with an operation characteristic which defines the slack of the production system, in order to include enough capacity for short term orders.

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References

2011

Scheduling in Supply Chains Using Mixed Integer Programming

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A capacity-driven approach to establish reliable due dates in a MTO environment

Cited by 55 publications

References 25 publications

Investigation of Effectiveness of Order Review and Release Models in Make to Order Supply Chain

Investigation of Effectiveness of Order Review and Release Models in Make to Order Supply Chain

Customer Driven Capacity Setting

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