Uncertainty and schedule instability in supply chain: insights from case studies

Pujawan, I Nyoman; Er, Mahendrawathi; Kritchanchai, Duangpun; Somboonwiwat, Tuanjai

doi:10.1504/ijsom.2014.065670

Cited by 14 publications

(18 citation statements)

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“…They determine the changes, particularly change in production plan date or change in production quantity. These findings support previous studies by many researchers including Herrera et al , (2016), Pujawan et al (2014) and Sivadasan et al , (2013) that point out demand uncertainty as one of the sources of schedule instability or nervousness.…”

Section: Discussionsupporting

confidence: 91%

Analysis of production planning in a global manufacturing company with process mining

Arsad

Astuti

et al. 2018

JEIM

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Purpose The purpose of this paper is to present the result of using process mining to model the production planning (PP) process of a manufacturing company that is supported by enterprise resource planning (ERP) systems. Design/methodology/approach This paper uses event logs obtained from the case company’s ERP database. The steps for this research are planning process mining implementation, extraction and construction of event log, discovering process model with Heuristic Miner and analysis. Findings Process model obtained from process mining shows how the PP is actually conducted. It shows the loop in materials requirement planning and create plan order process. Furthermore, the occurrences of changing plan order date and production line indicate the schedule instability in the case company. Further analysis of the material management (MM) event log shows the implication of production plan changes on MM. Continuous change in the plan affects material allocation priority and may result in a mismatch between production needs and the materials available. Research limitations/implications The study is only conducted in a single and specific case. Therefore, even though the findings provide good insight, the use of solitary case study does not imply a general result applied to other cases. Hence, there is a need to conduct similar studies on various cases so that a more generic conclusion can be drawn. Practical implications The result provides insights into how the current company’s policy of adjusting the production plan to accommodate changing demand impacts their operation. It can help the company to consider a better balance between flexibility and efficiency to improve their process. Originality/value The paper demonstrates the use of process mining to capture the real progression of PP based on the data stored in the company’s ERP database, which give an insight into how a real company conducts their PP process, the implication of schedule instability on MM and production. The novelty of this research lies in the use of process mining to attest to the schedule nervousness issue at a process level.

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Section: Discussionsupporting

confidence: 91%

Analysis of production planning in a global manufacturing company with process mining

Arsad

Astuti

et al. 2018

JEIM

Self Cite

View full text Add to dashboard Cite

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“…However, managing product variety over time is not an easy task. Too much variety can be contra productive from business perspective (Pujawan, Er and Somboonwiwat, 2014). Higher product variety will have an impact to the complexity of companies, especially in managing the production, procurement, and distribution processes (ElMaraghy et al, 2013).…”

Section: Product Varietymentioning

confidence: 99%

Product Variety, Supply Chain Complexity and the Needs for Information Technology: A Framework Based on Literature Review

Huddiniah

2019

OSCM: An Int. Journal

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Recently, many companies are competing against each other to be the first to offer new product in the market, even when offering new products brings additional challenges for their operations. At the same time, information technology is chosen as the most effective solution to help company facing supply chain problems that arise due to increasing flow of materials and information in the supply chain. However, many companies still do not fully considered the importance of aligning the needs of information technology with the supply chain and business conditions. This paper conduct a structured literature review on the influence of product variety, supply chain complexity, and the needs level of information technology. Based on the literature review a conceptual framework is developed that highlight three propositions: the potential relations between product variety and supply chain complexity, supply chain complexity and information technology, and the importance of aligning the implementation of information technology with the company's business condition. Finally, the main propositions from this study is that there are potential connections among product variety, supply chain complexity, business condition and information technology.

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“…In the few studies addressing the root causes of MDS instability (see Inman and Gonsalvez, 1997; Law and Gunasekaran, 2010; Pujawan et al. , 2014; Pujawan and Smart, 2012), a complexity perspective has not been considered.…”

Section: Introductionmentioning

confidence: 99%

“…dummy) data. Moreover, the methods used cannot identify unquantifiable variables (Pujawan et al. , 2014).…”

Section: Introductionmentioning

confidence: 99%

Untangling the complexity generating material delivery “schedule instability”: insights from automotive OEMs

Shurrab

Jönsson

2022

IJOPM

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PurposeChanges frequently made to material delivery schedules (MDSs) accumulate upstream in the supply chain (SC), causing a bullwhip effect. This article seeks to elucidate how dynamic complexity generates MDS instability at OEMs in the automotive industry.Design/methodology/approachAn exploratory multiple-case study methodology involved in-depth semistructured interviews with informants at three automotive original equipment manufacturers (OEMs).FindingsDynamic complexity destabilizes MDSs primarily via internal horizontal interactions between product and process complexities and demand and SC complexities. A network of complexity interactions causes and moderates such instability through complexity absorption and generation and complexity importation and exportation.Research limitations/implicationsThe multiple-case study contributes to empirical knowledge about the dynamics of MDS instability. Deductive research to validate the identified relationships remains for Future research.Practical implicationsIn revealing antecedents of complexity’s effect on MDS instability, the findings imply the need to develop strategies, programs, and policies dedicated to improving capacity scalability, supplier flexibility, and the flexibility of material order fulfillment.Originality/valueBuilding on complexity literature, the authors operationalize complexity transfer and develop a framework for analyzing dynamic complexity in SCs, focusing on complexity interactions. The identification and categorization of interactions provide a granular view of the dynamic complexity that generates MDS instability. The identified and proposed importance of readiness of the SC to absorb complexity challenges the literature focus on external factors for explaining complexity outcomes. The results can be used to operationalize such dynamic interactions by introducing new variables and networks of relationships. Moreover, the work showcases how a complexity perspective could be used to discern the root causes of a complex phenomenon driven by non-linear relationships.

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Uncertainty and schedule instability in supply chain: insights from case studies

Cited by 14 publications

References 0 publications

Analysis of production planning in a global manufacturing company with process mining

Analysis of production planning in a global manufacturing company with process mining

Product Variety, Supply Chain Complexity and the Needs for Information Technology: A Framework Based on Literature Review

Untangling the complexity generating material delivery “schedule instability”: insights from automotive OEMs

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