Transition to a JIT production system through ERP implementation: a case from the automotive industry

Erkayman, Burak

doi:10.1080/00207543.2018.1527048

Cited by 23 publications

(27 citation statements)

References 48 publications

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“…While these more recent studies offer insights and practical knowledge about domains of ERP implementation (Janssens et al, 2020), Lean and IT implementation in combination (Sartal and V azquez, 2017;Erkayman, 2019), IT for digitalization and Lean (Ghobakhloo and Fathi, 2019;Kobus et al, 2017) and Lean in IT organizations (Obwegeser et al, 2019), they do not address the development of continuous improvement capability. The framework offered in this paper provides an approach for developing digitally supported continuous improvement capability, documented through a standardized maturity model (Bessant and Francis, 1999).…”

Section: Discussionmentioning

confidence: 99%

Leveraging capabilities for digitally supported process improvement: a framework for combining Lean and ERP

Liutkevičienė

Rytter

Hansen

2022

BPMJ

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PurposeEnterprise resource planning (ERP) and Lean are both widely used approaches to business process improvement. However, research is limited on their interactions when implemented in combination, leveraging the advantages of both. The purpose of this paper is to propose a generic framework for implementing ERP and Lean in combination to develop digitally supported business process improvement capability and improved competitiveness.Design/methodology/approachPrinciples and elements for the framework were derived from the extant literature and subsequently applied as input for solution incubation using design science research (DSR) in a five-year case study. Study results and learnings enabled solution refinement and the development of a generic framework for digital supported process improvement capabilities.FindingsThe paper presents a case study narrative and proposes a framework for digitally supported business process improvement capability based on Lean and enabled digitally by ERP. The framework delivers tangible productivity and quality improvements deployed, and an increase of continuous improvement capability.Originality/valueThis paper provides a novel generic framework and a set of guidelines for implementing Lean and ERP in SMEs and/or service companies to improve their business process excellence. The paper contributes to the scientific literature by providing insights on how SMEs and service operations can integrate Lean and ERP methods, digitalize and streamline processes in the organization and build continuous improvement capabilities.

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Section: Discussionmentioning

confidence: 99%

Leveraging capabilities for digitally supported process improvement: a framework for combining Lean and ERP

Liutkevičienė

Rytter

Hansen

2022

BPMJ

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“…Furthermore, by deploying an ERP system and using demand forecasting functionality appropriately with accurate data, an organisation would reduce inventory levels (TIWARI 2020;ERKAYMAN 2018). Higher inventory levels are a significant risk in the SC because it freezes the capital and holds inventory cost that leads a company towards bankruptcy (CRONE and D. S 2013).…”

Section: Demand Forecasting and Integrating Systemsmentioning

confidence: 99%

A hybrid demand forecasting model for greater forecasting accuracy: the case of the pharmaceutical industry

Siddiqui

Azmat

Ahmed

et al. 2021

Supply Chain Forum: An International Journal

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In the era of modern technology, the competitive paradigm among organisations is changing at an unprecedented rate. New success measures are applied to the organisation's supply chain performance to outperform the competition. However, this lead can only be obtained and sustained if the organisation has an effective and efficient supply chain and an appropriate forecasting technique. Thus, this study presents the demand-forecasting model, i.e., a good fit for the pharmaceutical sector, and shows promising results. Through this study, it is observed that combining forecasting algorithms can result in greater forecasting accuracies. Therefore, a combined forecasting technique ARIMA-HW hybrid 1 i.e. (ARHOW) combines the Autoregressive Integrated Moving Average and Holt' s-Winter model. The empirical findings confirm that ARHOW performs better than widely used forecasting techniques ARIMA, Holts Winter, ETS and Theta. The results of the study indicate that pharmaceutical companies can adopt this model for improved demand forecasting.

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“…Also, there is one tool for value stream mapping and value stream analysis. Third author, (Erkayman, 2019) delivers the deep look into how the ERP system can transit the JIT system into the company. He emphasizes on the following production in real-time, following results of delivery and prioritizing orders according to due dates.…”

Section: Background On Erp System Implementation Into Lean Manufacturingmentioning

confidence: 99%

Research of Erp System Integration Into Lean Manufacturing

Marcinauskas

2021

Science - Future of Lithuania

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Nowadays, the highly competitive market makes industrial companies search for new decisions to improve their competitive advantages. It can be lowering product cost, manufacturing and delivering faster than competitors or being flexible when producing different quantities of different products for different customers. Most popular instruments that help companies to reach previously mentioned competitive advantages are implementing Lean Manufacturing strategies or ERP systems into their production systems. The way of using these systems might become the main indicator of companies’ success in the future. This research aims to create a guideline for integrating ERP system into Lean Manufacturing system. It focuses on the manufacturing companies that are already using such a system and can share their good and bad experiences. To reach this aim, the scientific literature is being analyzed by retrieving the CSFs for such an integration process. Using these CSFs, the relation between them and the positive outcomes of the integration process is established and tested using an online survey. The results of the survey are processed using empirical methods. Moreover, the research methodology for evaluating the ERP system integration into Lean Manufacturing level is established and tested in three case analyses.

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Transition to a JIT production system through ERP implementation: a case from the automotive industry

Cited by 23 publications

References 48 publications

Leveraging capabilities for digitally supported process improvement: a framework for combining Lean and ERP

Leveraging capabilities for digitally supported process improvement: a framework for combining Lean and ERP

A hybrid demand forecasting model for greater forecasting accuracy: the case of the pharmaceutical industry

Research of Erp System Integration Into Lean Manufacturing

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