scholarly journals Developing a Lean Supply Chain Performance Framework in a SME: A Perspective Based on the Balanced Scorecard

2015 ◽  
Vol 131 ◽  
pp. 270-279 ◽  
Author(s):  
Hugo Afonso ◽  
Maria do Rosário Cabrita
2022 ◽  
pp. 95-110
Author(s):  
Doni Maryono ◽  
Rita Ambarwati

The pandemic has an impact on almost all sectors of people's lives, in the economic, political, and socio-cultural sectors. The government has implemented large-scale social restrictions (PSBB) as an effort to stop the spread of the COVID-19 virus. With the PSBB, it causes disruption to the hospital supply chain management. As a step to anticipate the hospital's impact on the PSBB, the hospital needs to evaluate the performance of supply chain management. The purpose of this chapter is to describe the performance evaluation of hospital supply chain management using a balanced scorecard approach. A new finding from this study is to measure the performance of hospitals experiencing various disruptions in their supply chain management caused by the COVID-19 pandemic with a balanced scorecard. The author concludes that measurements with the balanced scorecard approach can provide information about the performance of hospital supply chain management broadly in areas experiencing disruption due to the COVID-19 pandemic.


Author(s):  
Baixing Yang ◽  
Sai Yang

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.


Author(s):  
Ehap Sabri ◽  
Rohan Vishwasrao

The authors describe how organizations can leverage the maturity model approach in conjunction with foundational concepts of perspective-based performance evaluation models like the balanced scorecard (BSC) to define a comprehensive performance measurement framework. A maturity model by design provides a road-map to the next level of performance. In this chapter, the authors propose using maturity models as a structured way of identifying current capability or maturity level of any supply chain. The authors provide guidance on selecting the right “causal linkages” between supply chain objectives and performance measures. They then define a mechanism for specifying even more granular definitions of measures linked to strategic objectives, as the level of maturity progresses. In this chapter, the authors survey widely used supply chain/business process maturity models and current practices related to measuring operational metric. And then present a tiered framework for operational metric alignment and KPI governance based on perspective-based modeling design principles.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guilherme Francisco Frederico ◽  
Jose Arturo Garza-Reyes ◽  
Anil Kumar ◽  
Vikas Kumar

PurposeThe purpose of this paper is to present a theoretical approach based on the balanced scorecard (BSC) with regard to performance measurement – PM in supply chains for the Industry 4.0 era.Design/methodology/approachThis paper combines the literature of PM and specifically the BSC with the literature related to the dimensions of supply chain in the context of Industry 4.0.FindingsDimensions extracted from the literature based on supply chains within the context of Industry 4.0 showed a strong alignment with the four perspectives of the BSC, which make it suitable to be considered as a performance measurement system (PMS) for supply chains in this new context.Research limitations/implicationsFrom theoretical perspective, this study contributes to the limited literature on PM for supply chains in Industry 4.0 era. The study proposes a supply chain 4.0 Scorecard and strongly support researchers to conduct future empirical researches in order to get a deeper understanding about PM in supply chains in the Industry 4.0 era. As limitations, the theoretical framework proposed needs further empirical research in other to validate it and obtain new insights over the investigation conducted and presented into this paper.Practical implicationsPractitioners can use this study as a guide to develop more effective performance measurement systems – PMSs in their organizations.Originality/valueThis research is unique as it addresses a significant knowledge gap related to PM in supply chains in the Industry 4.0 era. It brings a significant contribution in terms of understanding how to measure performance in supply chains in this new era.


Author(s):  
Kazi Arif-Uz-Zaman ◽  
A.M.M. Nazmul Ahsan

Purpose – The purpose of this paper is to present supply chain metrics and to propose a fuzzy-based performance evaluation method for lean supply chain. Design/methodology/approach – To understand the overall performance of cost competitive supply chain the paper investigates the alignment of market strategy and position of the supply chain. Since lean is applicable in many supply chains, the authors propose a set of metrics to evaluate supply chain performance. Moreover, the paper uses a fuzzy model to evaluate the performance of cost competitive supply chains. Fuzzy is an appropriate model method when uncertainty is present. It also allows modelling of a significant number of performance metrics across multiple supply chain elements and processes. Competitive strategy can be achieved by using a different weight calculation for different supply chain situations. Findings – Research provides optimal metrics for lean supply chains. The proposed method can measure the performance of lean supply chains using a fuzzy approach and competitive strategies. Research limitations/implications – The metrics which have been selected to measure the performance of lean supply chains is particularly applicable for high volume, low-price products. Practical implications – By identifying optimal performance metrics and applying performance evaluation methods, managers can predict the overall supply chain performance under lean strategy. By identifying performance for each metric they can also categorize the existing performance and optimise them accordingly. Originality/value – This study provides a performance evaluation method for supply chain managers to assess the effects of lean tools and competitive strategies.


2016 ◽  
Vol 23 (6) ◽  
pp. 1398-1422 ◽  
Author(s):  
Luís Miguel D. F. Ferreira ◽  
Cristóvão Silva ◽  
Susana Garrido Azevedo

Purpose – Companies need to excel in many areas to achieve a competitive advantage. This, together with pressure imposed by regulators and customers regarding sustainability concerns, leads companies to address sustainability in an integrated fashion across all management processes. The purpose of this paper is to suggest a model for the assessment of the environmental performance of a supply chain, based on four perspectives used in the balanced scorecard. Performance indicators are proposed based on the literature, as well as on the ISO 14031 and GRI standards, and were validated by a panel of experts. Design/methodology/approach – Based on a literature review on models for environmental performance management a novel model to assess the environmental performance of the supply chains (Env_BSC_4_SCPM) is proposed. Data collected from the first tier suppliers of an automotive industry case study are used to test the proposed model. Findings – The model developed was tested in a case study company, showing it ability to benchmark the company first tiers suppliers and products. The model is also useful as a decision support tool to define actions to be taken in order to improve the global environment performance of the supply chain. Research limitations/implications – The proposed model was developed to evaluate the environmental performance of supply chains. Nevertheless, the case study only takes account of the first tier suppliers, due to difficulties associated to data collecting for the other elements in the supply chain. Widening the frontiers, the next phase may include the application of this model to second, third and lower tier suppliers, as well as the final customer. Improvements in the model could also include the construction of a composite index to measure the environmental supply chain performance. Practical implications – The paper provides a model that can be used by practitioners to evaluate the environmental performance of their supply chain and to decide on actions to be taken to improve it. Originality/value – As stated by several authors, there has been limited research conducted in the field of environmental evaluation of supply chains. This paper proposes a novel model for the environmental performance of the supply chain and tests it using industrial empirical data.


2016 ◽  
Vol 14 (1) ◽  
pp. 103-115 ◽  
Author(s):  
Dorota LEOŃCZUK

The increasing complexity of supply chains, whose structure is changing from a linear to network form creates the need to track a growing amount of information allowing the evaluation of the functioning of the entire supply chain. Developing a system for measuring the performance of the supply chain requires the proper selection of indicators. Performance measurement should be done in a particular context, the analysed dimensions of indicators resulting from the purpose and focus of the survey should be determined. The article reviews Polish and foreign literature in terms of the proposed framework and methods for measuring the performance of the supply chain and the indicated categories (dimensions) of indicators. The authors approach the subject of evaluation of the performance of the supply chain in very different ways. Indicators are divided according to the level of the decision-making process: strategic, tactical, and operational. They are also divided into cost and non-cost or financial and non-financial ones. There are also approaches using the already well established methods and models. An example of this is the selection of perspectives according to the Balanced Scorecard (BSC) and the SCOR model.


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