Reducing data requirements when selecting key performance indicators for supply chain management: The case of a multinational automotive component manufacturer

Brint, Andrew; Genovese, Andrea; Piccolo, Carmela; Taboada-Perez, Gerardo J.

doi:10.1016/j.ijpe.2020.107967

Cited by 15 publications

(10 citation statements)

References 47 publications

(59 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The use of KPIs emerges as a tool to evaluate and quantify the performance of the processes, regarding a set of previously established objectives [25]. The use of these metrics has been embraced in several areas such as education, agriculture [26], financial service [27], transport [28], industry [29], healthcare [30], supply chain [31], risk management [32], quality control [33], maintenance [34], and construction [35], among others.…”

Section: Performance Evaluation and Performance Measuresmentioning

confidence: 99%

See 1 more Smart Citation

Key Performance Indicators Selection through an Analytic Network Process Model for Tooling and Die Industry

2021

View full text Add to dashboard Cite

In the last few decades, the fast technological development has caused high competitiveness among companies, encouraging a pursuit for strategies that allow them to gain competitive advantage, such as the monitoring of performance by using key performance indicators (KPIs). However, its selection process is complex since there are several KPIs available to evaluate performance and different relationships between them. To overcome this challenge, the use of a multiple criteria decision-making model (MCDM) was proposed, namely the analytic network process (ANP) through which a reduced number of them are prioritized. To identify which KPIs are suitable for the press cast and die manufacturing industry, a literature review was made, and 58 unique KPIs were identified. Thus, to validate the proposed methodology, a case study was carried out in an automotive press molding industry. With the implementation of the proposed ANP model it was possible to identify 9 KPIs that ensure the correct molding process monitoring, while being aligned with the Balanced Scorecard criteria. The results show that the proposed model is suitable for selecting KPIs for the molding industry.

show abstract

Section: Performance Evaluation and Performance Measuresmentioning

confidence: 99%

“…Since the selected KPIs cover all the BSC categories, no additional procedures were devised. However, as a future refinement for the model the KPI pre-selection procedure can be improved using TOPSIS in order to select the most important KPIs according to the organization's priority [31,81].…”

Section: Data Gatheringmentioning

confidence: 99%

Key Performance Indicators Selection through an Analytic Network Process Model for Tooling and Die Industry

2021

View full text Add to dashboard Cite

show abstract

“…Most supply chains (not only in the construction field) are commercial which means that they are successful when the desired profitability of the supply chain is achieved [7]. For a construction supply chain to be successful at all stages, supply chain management needs to be assessed.…”

Section: Literature Reviewmentioning

confidence: 99%

Developing of Sustainable Supply Chain Management Indicators in Construction

2021

View full text Add to dashboard Cite

Most of the existing supply chain management methods and systems are being transferred to construction regardless of the specifics of companies in the construction sector. Numerous complex factors such as ecological, social and economic are required for the continuous evaluation in the modern management of construction sector. The provided studies and the research to examine sustainable supply chain management in construction sector from a holistic perspective, concentrating on mostly long-term sustainable decision-making by the construction company rather than being centered only on the supply chain management for construction projects. This paper identifies a list of sustainability indicators for examining the supply chains of construction companies. Those indicators were categorized and assigned to one or a couple groups by reviewing their use in the previous literature agreeing to the reasoning to way better reflect the SSCM principle of their use in construction companies. The use of indicators can help develop strategies for the construction sector for sustainable policy makers and construction company managers.

show abstract

“…The supply chain reduces resource waste by about $7 billion. Therefore, it is important to strengthen the information platform, so that the actual demand information and the enterprise's forecast of the future demand can be transmitted to suppliers promptly, and at the same time, establish an inventory information-sharing mechanism with suppliers, so that enterprises can keep abreast of the suppliers' supply capacity, to reasonably arrange procurement activities [19,[40][41]. For non-bidding procurement, the implementation of supply-demand synergy is the key to reduce the waste of supply chain resources, and better utilize its advantages of short duration, convenience, and high efficiency, thus realizing the enterprise's intelligent procurement.…”

Section: Figure 2 Intelligent Procurement Synergy Mechanism Constructionmentioning

confidence: 99%

Enterprise Intelligent Procurement Management Model Exploration

Yang¹,

Yang²

2021

Preprint

View full text Add to dashboard Cite

With the development of big data analysis, blockchain and other technologies, the supply chain of enterprises is transforming to lean and intelligent. As an important link in the enterprise supply chain, the intelligent transformation of procurement plays an important role in the improvement of the supply chain efficiency, therefore, the construction of a common method supporting the intelligent upgrade of the enterprise procurement business has become a key concern for enterprise managers. Based on the balanced scorecard theory and the supply chain maturity model, this study combines the actual situation of procurement management in Chinese energy enterprises and constructs a procurement benchmarking system that balances the development direction of the industry and the actual needs of enterprises. Meanwhile, based on the grounded theory, three major themes of the intelligent procurement system (digital business module, procurement synergy mechanism and procurement ecosystem) are extracted to provide a methodological reference for the construction of intelligent procurement systems of energy enterprises. The study concludes with a case study of China National Energy Group Materials Company to demonstrate the application of the intelligent procurement system built in this paper, with a view to providing methodological reference for the intelligent procurement management in energy enterprises.

show abstract

Reducing data requirements when selecting key performance indicators for supply chain management: The case of a multinational automotive component manufacturer

Cited by 15 publications

References 47 publications

Key Performance Indicators Selection through an Analytic Network Process Model for Tooling and Die Industry

Key Performance Indicators Selection through an Analytic Network Process Model for Tooling and Die Industry

Developing of Sustainable Supply Chain Management Indicators in Construction

Enterprise Intelligent Procurement Management Model Exploration

Contact Info

Product

Resources

About