Due date (DD) quotation and capacity planning in make-to-order companies: Results from an empirical analysis

Zorzini, Marta; Corti, Donatella; Pozzetti, Alessandro

doi:10.1016/j.ijpe.2007.08.005

Cited by 58 publications

(38 citation statements)

References 40 publications

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“…The authors in [13] tried to show the benefits of WLC along with web functionality in supply chain integration. It is proposed in [14] three different procedures for DD quotation depending on the DD type and orders type of the MTO companies: Negotiable DD and fast order, Negotiable DD and slow order, Fixed DD. But DD determination largely depends on the whole flow of the supply chain within the company.…”

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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“…Although order acceptance is an important decision in MTS environment, how it is managed is much more important in the MTO manufacturing environments (Nandi and Rogers, 2006;Zorzini et al, 2008).…”

Section: Order Acceptance Basicsmentioning

confidence: 99%

An agent-based model to support negotiation-based order acceptance in a multi-plant enterprise

Mobini

Behdani

Lukszo

et al. 2011

2011 IEEE International Conference on Systems, Man, and Cybernetics

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SummaryOrder acceptance (OA) has a large inuence on the performance of an enterprise. On the one hand, always accepting an order when capacity is available may restrict the system to accept more protable orders in the future. On the other hand, rejecting too many orders leads to low capacity utilization and also has repercussions for future customer relations. In addition, accepting too many orders leads to an over-loaded production environment, where lead times increase and orders are delivered late. Most of these aspects of order acceptance decision-making can be handled by having proper negotiations with customers on order terms. However, this is a complex problem primarily because there are dierent actors who have various (conicting) interests, needs and objectives. Accordingly, to provide insight for the decision makers in the rms in order to develop proper strategies for order acceptance, developing appropriate models seems necessary.The objective in this research is to improve the order acceptance performance of a make-to-order multi-plant enterprise (MPE) by incorporating buyer-seller negotiations in its OA procedure with the main research question of How can the buyer-seller negotiation process contribute to the improvement of order acceptance performance in the multi-plant enterprise?For this purpose, we have developed an agent-based model to support order acceptance decisions in a multi-plant enterprise particularly using dierent negotiation settings.The research starts with literature review on order acceptance in general and negotiation in particular. A gap is identied in the OA literature: the major perspectives on the OA procedure rest on the underlying assumption that order terms are already determined which is not always tenable. In reality, order terms are usually specied by negotiation between the buyer and the seller and they are not predetermined. A negotiation-based order acceptance approach is consequently suggested in order to consider the whole activities in a negotiation process with three phases. The proposed process involves the initiation conditions for negotiation (pre-negotiation phase), the main interaction (negotiation phase) and the consequences of negotiation on the future decisions of the involved actors (post-negotiation phase). This negotiation process is a part of more general negotiation framework which is then extended into a negotiation ontology. The ontology introduces the main concepts and their relations in a negotiation problem. Next, the conceptualization of the order negotiation process in OA and the negotiation ontology are used in developing an agent-based model for buyer-seller negotiations in a case of multi-plant enterprise. The general assumptions and settings for model development are taken from a model have been presented by Behdani et al. (2010) for a lube oil multi-plant case study motivated by a real supply chain.In this research, the previous model is extended by incorporating negotiation between the ii enterprise and its customers on order terms. Final...

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“…The authors presented issues that users need to be aware of in the operation of the decision support system and also emphasized on the user interface, as well as behavioural issues in decision support systems. Zorzini, Corti and Pozzetti (2008) have also proposed an interpretative framework to identify the contextual factors impacting company choices during decision making at the customer enquiry stage. They presented a model that formalizes the decision process for setting due dates categorized as (a) negotiable due date, fast order (DD set by company but delivery time performance is the most relevant critical success factor), (b) negotiable due date, slow order (DD can be set by company and delivery time performance is not the main critical success factor) and (c) fixed DD (DD is fixed by customer).…”

Section: Application Of Linear Programming To Enhance Decision Supportmentioning

confidence: 99%

Decision Support System Based on Effective Knowledge Management Framework To Process Customer Order Enquiry

Oduoza¹

2010

Decision Support Systems

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Due date (DD) quotation and capacity planning in make-to-order companies: Results from an empirical analysis

Cited by 58 publications

References 40 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

An agent-based model to support negotiation-based order acceptance in a multi-plant enterprise

Decision Support System Based on Effective Knowledge Management Framework To Process Customer Order Enquiry

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