The implications of fit between planning environments and manufacturing planning and control methods

Jönsson, Patrik; Mattsson, Stig-Arne

doi:10.1108/01443570310486338

Cited by 79 publications

(117 citation statements)

References 22 publications

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“…To structure the variables, they are by Olhager and Rudberg [39] grouped in three categories; product related, market related and manufacturing process related. Jonsson and Mattsson [2] and Schönsleben [40] do a similar grouping of the environmental variables.…”

Section: Implications Of the Production Environmentmentioning

confidence: 99%

“…The implications of the production environment for the fit of planning methods and the design and selection of production planning and control systems have been widely studied, and the applicability of PPC methods have been found to differ between production environments [2]. There is no one-size fits all approach to PPC, thus the characteristic features describing the production environment must be considered when designing the PPC system [2].…”

Section: Implications Of the Production Environmentmentioning

confidence: 99%

“…However, several other factors needs to be considered when describing a company's production environment. The topic of production environments have been widely described and studied [2,[38][39][40][41], and the production environment is often described in terms of specific variables or characteristic features. To structure the variables, they are by Olhager and Rudberg [39] grouped in three categories; product related, market related and manufacturing process related.…”

Section: Implications Of the Production Environmentmentioning

confidence: 99%

“…The terms "manufacturing" and "production" are in this paper used as two interchangeable terms. How manufacturing logistics should be handled is dependent on the company's production environment [2,3]. The production environment is here considered as the set of variables that describes the market related, product related and production process related characteristic features of a company.…”

Section: Introductionmentioning

confidence: 99%

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The fit of Industry 4.0 applications in manufacturing logistics: a multiple case study

et al. 2017

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The fourth industrial revolution, Industry 4.0, is expected to cause disruptive changes in industrial production. It is driven by rapid technological developments and the need for manufacturing companies to make oneself independent of high labor costs. Industry 4.0 concerns several aspects of industrial production, including manufacturing logistics, business models and products and services. The applications of Industry 4.0 have been vastly outlined. However, the fit of Industry 4.0 applications in different production environments is not clear. The purpose of this paper is to identify and investigate the Industry 4.0 technologies that are applicable to manufacturing logistics, and how the production environment influence the applicability of these technologies. This is done through a multiple case study of four Norwegian manufacturing companies. The findings from the study indicate that the applicability of Industry 4.0 in manufacturing logistics is dependent on the production environment. Companies with a low degree of production repetitiveness see less potential in applying Industry 4.0 technologies in manufacturing logistics, while companies with a highly repetitive production see a higher potential.

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Section: Implications Of the Production Environmentmentioning

confidence: 99%

Section: Implications Of the Production Environmentmentioning

confidence: 99%

Section: Implications Of the Production Environmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The fit of Industry 4.0 applications in manufacturing logistics: a multiple case study

et al. 2017

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“…However, from Kingsman's (2000) argument above it follows that dispatching may be the least important stage in the planning and control hierarchy for MTO companies. Jonsson & Mattsson (2003) agreed with this, but also suggested implementing a 'dispatching list' method, where advised priorities are given to the shop floor. On planning for the use of capacity at the dispatching level, Tenhiälä (2011) concluded that rough-cut methods -as featured in many ERP systems -can be used by companies utilising job-shop environments (i.e.…”

Section: Mto Requirements and Erp Functionality At The Shop Floor Dismentioning

confidence: 99%

The applicability and impact of Enterprise Resource Planning (ERP) systems: Results from a mixed method study on Make-To-Order (MTO) companies

Aslan

Stevenson

Hendry

2015

Computers in Industry

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The effect of a Make-To-Order (MTO) production strategy on the applicability and impact of Enterprise Resource Planning (ERP) systems is investigated through a mixed method approach comprised of an exploratory and explanatory survey followed by three case studies. Data on MakeTo-Stock (MTS) companies is also collected as a basis for comparison. The exploratory data demonstrates, for example, that MTO adopters of ERP found the system selection process more difficult than MTS adopters. Meanwhile, a key reason why some MTO companies have not adopted ERP is that it is perceived as unsuitable. The explanatory data is used to test a series of hypotheses on the fit between decision support requirements, ERP functionality, and company performance. In general, a poor fit between the decision support requirements of MTO companies and ERP functionality is identified, although certain modules can lead to performance improvements -most notably for Customer Enquiry Management (CEM). MTS companies make more use of planning tools within ERP systems, and it is concluded that production strategy is an important contextual factor affecting both applicability and impact. Follow-up cases with two MTO adopters and one MTO nonadopter develop a deeper understanding of the survey results. For example, in one adoption case, a system was rented to minimise the consequences of making a poor selection decision. Future research could explore how more MTO-specific planning concepts can be embedded within ERP systems to improve alignment.

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You Cannot Manage What You Cannot Measure: An Information Systems Based Asset Management Perspective

Haider

Koronios

Quirchmayr

Engineering Asset Management

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The implications of fit between planning environments and manufacturing planning and control methods

Cited by 79 publications

References 22 publications

The fit of Industry 4.0 applications in manufacturing logistics: a multiple case study

The fit of Industry 4.0 applications in manufacturing logistics: a multiple case study

The applicability and impact of Enterprise Resource Planning (ERP) systems: Results from a mixed method study on Make-To-Order (MTO) companies

You Cannot Manage What You Cannot Measure: An Information Systems Based Asset Management Perspective

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