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

Rabbani, Masoud; Haghighi, S. Motevali; Farrokhi-Asl, Hamed; Manavizadeh, Neda

doi:10.14488/bjopm.2017.v14.n3.a13

Cited by 3 publications

(3 citation statements)

References 20 publications

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“…As mentioned previously, MTS systems are considered conventionally as completely dissimilar and unharmonious with MTO production systems. This issue have been addressed in the literature (Rabbani et al, 2017), where some products are manufactured based on MTO patterns and some other ones based on MTS environment.…”

Section: Motivation and Significancementioning

confidence: 99%

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A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments

Jalali

Ghomi

Rabbani

2020

BJO&PM

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Goal: This paper aims to facilitate production-planning strategies for demand responsiveness. Our paper implements graph-rewriting systems towards supporting operative decision making in production environments. Design / Methodology / Approach: We design a decision support approach which is able to recognize and resolve conflicts amongst workstations in a hybrid production system. During the proposed stages of the presented approach, we rewrite the hybrid system by means of graph representation procedure, identify conflicts among the workstations by means of the developed graph coloring algorithm, and evaluate performance of the reorganized system by defining key performance indicators for the presented system. Results: We prove that the graphs' chromatic numbers in such systems are less than or equal to entire number of dummy nodes applied to the system by means of our proposed algorithm. Furthermore, the presented structure improves the performance of the system by analyzing production bottlenecks. Limitations of the investigations: we only considered the Key Performance Indicators according to products, workstations, and customers. However, the problem can be more generalized by adding some more elements. Practical implications: Our methodology enables managers to assess the performance of the reorganized system after applying the heuristic algorithm, by means of representing a performance evaluation procedure. Originality / Value: We focus on presenting a novel structure to help companies using hybrid make-to-stock (MTS)/make-to-order (MTO) production strategies to (1) identify conflicting workstations and the relations among them, (2) propose dialectical prioritization rules and techniques by means of graph-coloring concepts for resolving the conflicts, (3) reorganize the system, and evaluate performance.

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Section: Motivation and Significancementioning

confidence: 99%

“…Therefore, profitable MTO orders as well as hybrid ones are accepted whereas profitless orders are rejected to avoid capacity stocking ups. Rabbani et al (2017) addressed a multi stage model dealing with the operational decisions. Their proposed framework improves the company's service level to the customer.…”

Section: /16mentioning

confidence: 99%

A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments

Jalali

Ghomi

Rabbani

2020

BJO&PM

Self Cite

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“…On the other hand, regarding JIT/Kanban-based M&M-MP and systems, materials are not normally planned in advance; instead, their necessities are considered just-intime, according to their use or need, typically considering a smaller amount and/or variety of materials, and even unitary lot sizes, associated to a more stable or even certain demand. Moreover, under this production paradigm, mainly the production to order or make-to-order philosophy is carried out (Rabbani et al, 2017), to satisfy customers' orders, instead of production to stock or make-to-stock (Rabbani et al, 2017), unless bigger lot sizes or mass production is considered. Moreover, this kind of manufacturing scenario is frequently associated to the pull production philosophy (Salgado and Varela, 2010), and to product-oriented manufacturing environments, such as traditional flow shops, as, for instance, manufacturing cells based on the JIT, namely in the case of single unit lot sizes.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of lot-sizing methods’ suitability for different manufacturing application scenarios oriented to MRP and JIT/Kanban environments

Florim

Dias

Santos

et al. 2019

BJO&PM

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Goal: The main goal of this research is to analyse the behaviour of a set of ten lot-sizing methods applied to different application scenarios, within the context of more traditional MRP-based manufacturing environments and on JIT/ Kanbans oriented ones. Design/Methodology/Approach: After an extended literature review, a quantitative research method is used to provide a comparative analysis on the performance of the lot-sizing methods under different simulated application scenarios, with variations in demand and peaks of seasonality. Moreover, a final summary provides the error deviations for lot-sizing methods regarding increases in demand variations and seasonality indexes. Results: The study analyses lot-sizing methods and discusses benefits and risks associated to its use in application scenarios marked by a considerable variation in demand or peaks in seasonality. Limitations of the investigation: As the application scenarios did not explore variations in the ordering and stock holding costs, further analysis including these kinds of variations is encouraged. Practical implications: The findings of this research enable the enhancement of the conscience of industrial practitioners, regarding the selection of best suited lot-sizing methods for being applied on each kind of manufacturing scenario, regarding MRP or JIT/ Kanban environments. Originality/Value: Given the diversity of the existing lot-sizing methods, for instance, the heuristic ones, authors can find it quite difficult to select appropriate methods for solving their problems for each kind of application scenario. Therefore, the present study can provide useful knowledge to better support decision making in the lot-sizing domain.

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Developing a bi-objective schedule for an online cellular manufacturing system in an MTO environment

et al. 2021

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

Cited by 3 publications

References 20 publications

A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments

A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments

Analysis of lot-sizing methods’ suitability for different manufacturing application scenarios oriented to MRP and JIT/Kanban environments

Developing a bi-objective schedule for an online cellular manufacturing system in an MTO environment

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