scholarly journals Performance measurement in the natural gas industry

2018 ◽  
Vol 25 (8) ◽  
pp. 2913-2930 ◽  
Author(s):  
Yahaya Yusuf ◽  
Angappa Gunasekaran ◽  
Thanos Papadopoulos ◽  
Wendy Auchterlounie ◽  
Delphine Hollomah ◽  
...  
Keyword(s):  
Supply Chain ◽  
Natural Gas ◽  
Performance Measurement ◽  
Conceptual Model ◽  
Performance Measures ◽  
Petroleum Industry ◽  
Measurement Model ◽  
Performance Criteria ◽  
Structured Interviews ◽  
Content Type

PurposeThe purpose of this paper is to develop a performance measurement model for the entire supply chain that includes balanced set of performance measures.Design/methodology/approachThe conceptual model was validated empirically in case companies through semi-structured interviews and content analysis of documents.FindingsPerformance measures are important to companies in the natural gas (NG) supply chain to assess performance against set objectives in order to identify loopholes in performance. This is important in order to remain competitive. The research found that both financial and non-financial performance measures are employed by companies to measure performance. The results also indicate that six performance criteria of the conceptual model are vital to the NG supply chain. In addition, all identified measures under each of criteria impact on performance of the supply chain with customer service and financial criteria considered as most important.Research limitations/implicationsThe empirical data collected from the NG supply chain in Ghana were relatively small; however, additional information was obtained from company data and relevant magazines. Also, getting through to specific target participant was a challenge due to busy work schedule but, in case companies where it proved impossible, other staff who were also involved in supply chain were interviewed instead.Practical implicationsThis research provides a useful source of information on performance measures for practitioners in the NG industry who wish to measure performance of their supply chain. It also provides areas from which further and additional research can be carried out.Originality/valueThis research provides performance measures for the NG supply chain of Ghana. Typically, performance measures have been evaluated in discrete manufacturing supply chain, petroleum industry supply chain and oil industry supply chain. This research expanded on ideas from these studies and applied them in the NG industry.

Performance measurement for supply chain management and quality management integration

2019 ◽  
Vol 27 (7) ◽  
pp. 2130-2147 ◽  
Author(s):  
Marcio C. Machado ◽  
Renato Telles ◽  
Paulo Sampaio ◽  
Maciel M. Queiroz ◽  
Ana Cristina Fernandes
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Performance Measurement ◽  
Performance Measures ◽  
Chain Management ◽  
Content Type ◽  
Theoretical Perspectives ◽  
Overall Performance ◽  
Key Aspects

Purpose The purpose of this paper is to present a conceptual framework for performance measurement (PM) for the integration of supply chain management (SCM) and quality management (QM). Design/methodology/approach A systematic literature review on SCM and QM was conducted to develop key performance measures related to six areas of integration between QM and SCM: leadership; continuous improvement and innovation; sustainability performance; stakeholders; information system; and management and strategic planning. Findings Supported by the literature concerning to supply chain quality management (SCQM) integration, a set of nine propositions about performance measures, that contribute to the integration of SCQM, were developed. Originality/value This study contributes to QM practices within a supply chain environment from an integrated perspective. Additionally, the propositions have significant implications from both managerial and theoretical perspectives. This study also extends the concept of supply chain quality integration by focusing on key aspects of PM that may help to improve the overall performance of the supply chain.

Measuring supply chain performance: the triple E model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luiz Eduardo Simão ◽  
Karine Somensi ◽  
Ricardo Villarroel Dávalos ◽  
Carlos Manuel Taboada Rodriguez
Keyword(s):  
Supply Chain ◽  
Environmental Impact ◽  
Performance Measurement ◽  
Cycle Time ◽  
Regional Distribution ◽  
Measurement Model ◽  
Service Level ◽  
Distribution Center ◽  
Transport Capacity ◽  
Content Type

PurposeThis work aims to measure the performance of an electric motors supply chain (SC) by using the Triple E performance measurement model to assess three performance dimensions simultaneously: efficiency, efficacy and environmental impact.Design/methodology/approachThis research presents a real case of a Brazilian company as an example for applying the Triple E performance measurement model and the discrete-event simulation to assess the performance of an SC.FindingsPerformance measurements for the three dimensions were the following: (1) for efficiency, a high inventory cost in the SC, driven by the distribution center (DC) (49.7% total cost); an order cycle time operating with an average of 21.7 days and a logistic channel transport capacity of 88%; (2) for efficacy, a service level of 98% for all channels; (3) for environmental impact, the SC emits a total of 395,733 kg of CO2 annually, with the DC and the regional distribution center (RDC2) being the largest emitters.Originality/valueThis work allowed to measure the performance of an SC interface (manufacturing process, a DC and three regional distribution centers). It was possible to measure the inventory holding cost and out-of-stock inventory costs, order cycle time, SC service level, transport capacity utilization and CO2 emissions in the transportation process of each SC stage and the whole SC. This study can be used as a decision support guide for academics and practitioners to measure and improve the SC performance.

scholarly journals Environmental performance measurement for green supply chains

2018 ◽  
Vol 48 (8) ◽  
pp. 765-793 ◽  
Author(s):  
Andrea Tuni ◽  
Athanasios Rentizelas ◽  
Alex Duffy
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Supply Chains ◽  
Environmental Impacts ◽  
Environmental Performance ◽  
Quantitative Methods ◽  
Measurement Model ◽  
Environmental Aspects ◽  
Content Type ◽  
Environmental Performance Measurement

Purpose The majority of the environmental impacts in a typical supply chain can arise beyond the focal firm boundaries. However, no standardised method to quantify these impacts at the supply chain level currently exists. The purpose of this paper is to identify the quantitative methods developed to measure the environmental performance of supply chains and evaluate their key features. Design/methodology/approach A systematic literature review is conducted at the intersection of performance measurement and green supply chain management (GSCM) fields, covering 78 publications in peer-reviewed academic journals. The literature is reviewed according to several perspectives, including the environmental aspects considered, the main purpose of measurement, model types and the extent of supply chain covered by performance measurements. Findings Adopted environmental metrics show a low degree of standardisation and focus on natural resources, energy and emissions to air. The visibility and traceability of environmental aspects are still limited; the assessment of environmental impacts does not span in most cases beyond the direct business partners of the focal firms. A trade-off was observed between the range of environmental aspects and the extent of the supply chain considered with no method suitable for a holistic evaluation of the environmental supply chain performance identified. Three major streams of research developing in the field are identified, based on different scope. Originality/value This paper is the first attempt to examine in detail what tiers of the supply chain are actually involved in green performance assessment, ultimately contributing to clarify the scope of the supply chain dimension in GSCM performance measurement research. The work also recognises which methods are applicable to extended supply chains and explores how different methodologies perform in terms of supply chain extent covered.

scholarly journals Drivers of sub-supplier social sustainability compliance: an emerging economy perspective

2020 ◽  
Vol 25 (6) ◽  
pp. 655-677
Author(s):  
V.G. Venkatesh ◽  
Abraham Zhang ◽  
Eric Deakins ◽  
Venkatesh Mani
Keyword(s):  
Supply Chain ◽  
Conceptual Model ◽  
Codes Of Conduct ◽  
Strong Support ◽  
Social Sustainability ◽  
Strategic Partnership ◽  
Hierarchical Regression ◽  
Structured Interviews ◽  
Content Type ◽  
Building Collapse

Purpose Tragic incidents such as the Rana Plaza building collapse call into question the value and effectiveness of supplier codes of conduct (SCC) used in multi-tier supply chains. This paper aims to investigate the barriers to sub-supplier compliance and the drivers from the perspective of suppliers that adopt a double agency role by complying with buyer-imposed SCC while managing sub-supplier compliance on behalf of the buyer. Design/methodology/approach This research adopts a sequential, mixed-methods approach. The qualitative phase develops a conceptual model with the aid of the extant the literature and semi-structured interviews with 24 senior manufacturing professionals. The quantitative phase then uses a hierarchical regression analysis to test the conceptual model using survey data from 159 apparel suppliers based in India. Findings The findings reveal that sub-supplier compliance is positively impacted by effective buyer–supplier governance and by the focal supplier having a strategic partnership with the sub-supplier. Conversely, price pressure on sub-suppliers adversely impacts their compliance, while institutional pressure on them to comply is generally ineffective. Research limitations/implications The context of the study is limited to the garment industry in India. Practical implications To improve SCC compliance rates, buyers and focal suppliers should actively develop strategic partnerships with selected upstream supply chain actors; should set a reasonable price across the supply chain; and, should include specific sub-supplier compliance requirements within the supply contract. The findings also suggest the need to develop social sustainability protocols that are cognisant of regional contexts. Originality/value The absence of prior research on SCC implementation by sub-suppliers, this study represents a pioneering empirical study into such multi-tier sourcing arrangements. It provides strong support that sub-supplier governance arrangements differ from those typically found in the focal supplier layer. It also provides empirical evidence of the critical factors that encourage sub-supplier compliance within the apparel industry of a regionally developing economy.

Performance measurement system for a lean manufacturing setting

2019 ◽  
Vol 23 (3) ◽  
pp. 240-252 ◽  
Author(s):  
Samudi Perera ◽  
Chandana Perera
Keyword(s):  
Performance Measurement ◽  
Performance Measures ◽  
Measurement System ◽  
Lean Manufacturing ◽  
Performance Measurement System ◽  
Structured Interviews ◽  
Content Type ◽  
Lean Practices ◽  
Manufacturing Performance ◽  
Key Performance Measures

Purpose The purpose of this paper is to propose a performance measurement system for a lean manufacturing environment, which assesses the multi-dimensional performance of lean manufacturing. Design/methodology/approach Following a case study approach, structured interviews were conducted to identify the parameters to measure the performance of a lean manufacturing apparel company. A model was developed with the analytical hierarchical process to assess the performance. Findings The proposed model consists of three levels: first level (overall manufacturing performance), second level (criteria that represent the stakeholders’ view of manufacturing performance) and third level (sub-criteria for the criteria which represent the areas affected by lean manufacturing). The model connects indicators that measure manufacturing performance with the areas required improvements, according to their relative importance to stakeholders. Research limitations/implications The interviewers’ perspectives were used to determine the importance of each manufacturing area for stakeholders. Key performance measures can vary from company to company. Practical implications Managers can use this model to identify important areas for manufacturing performance and the performance improvements driven by different types of lean practices. The results revealed that identifying stakeholders’ requirements was an important aspect of evaluating manufacturing performance. Social implications The model embeds a stakeholder approach in performance measurement, thereby providing a comprehensive model to assess performance. Originality/value This study applies the stakeholder view to identify the multi-dimensional nature of performance in a lean manufacturing setting. It also defines the key performance measures using lean practices.

Supply chain quality management performance measurement: systematic review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Seyedeh Soudeh Karamouz ◽  
Reza Ahmadi Kahnali ◽  
Mohamad Ghafournia
Keyword(s):  
Supply Chain ◽  
Quality Management ◽  
Literature Review ◽  
Total Quality Management ◽  
Performance Measurement ◽  
Performance Measures ◽  
Systematic Literature Review ◽  
Total Quality ◽  
Quality Performance ◽  
Content Type

PurposeThis study aims at investigating the existing knowledge in the literature on quality management performance measurement in order to identify performance measures in the field of total quality management and classify measures according to the three levels of supplier, customer and company.Design/methodology/approachA systematic literature review is conducted at the intersection of performance measurement and total quality management fields. Four databases including Web of Sciences, Scopus, Emerald and Google Scholar were searched up to 2018. A final sample of 24 articles was selected based on the inclusion/exclusion criteria that constitutes the knowledge base of the study.FindingsOne of the problems that many organizations face is the lack of knowledge and resources on how to evaluate, improve and manage the quality performance. Through analysis and synthesis of the literature, the study revealed the measures for assessing quality performance at three levels of supplier, customer and company.Research limitations/implicationsThis study focuses only on four databases, which may have limited the number of the databases included and thus the scope of this investigation to a certain extent.Originality/valueThe present study aimed to identify and classify different performance measures through a systematic literature review framework classifying these measures into three groups. The article brings together fragmented literature from multiple studies to categorize research output regarding performance measurement of supply chain quality. The paper shows the state of the performance measurement in total quality management in supply chain.

An investigation of the relationship between supply chain management practices (SCMP) on supply chain performance measurement (SCPM) of Indian retail chain using SEM

2017 ◽  
Vol 24 (1) ◽  
pp. 257-295 ◽  
Author(s):  
Shradha Ashok Gawankar ◽  
Sachin Kamble ◽  
Rakesh Raut
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Measurement ◽  
Performance Measures ◽  
Management Practices ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Chain Management ◽  
Content Type ◽  
The Relationship

Purpose The purpose of this paper is to investigate the relationship between two major constructs (supply chain management practices (SCMP) and supply chain performance measures), which determines the efficiency and efficacy of retail-supply chain management, using a rigorous empirical method to validate the instrument scale for measuring the validity and reliability of the identified constructs. Additionally, the paper further tests the relationship between SCMP and supply chain performance measures using structural equation modeling (SEM). Design/methodology/approach Data were compiled and collected from 213 operations and supply chain (SC) heads from leading retail stores in India. Confirmatory factor analysis was used to test the validity of the proposed measurement scale and the relationship is tested using SEM. Findings The results of the research will help the decision makers in the SC/procurement field to understand the importance of the association between SCMP and supply chain performance measures. Statistical tests show that the implementation of SCMP are associated with supply chain performance measures, which leads to overall improvements; moreover, there is a statistically significant association between the five SCMP and eight SCPM. Research limitations/implications This research is also needed to provide more understanding about the SCMP along with the supply chain performance measures and the positive association among them. Overall, this research provides an additional insight into the growing field of the relationships between SCMP and SCPM. Clearly, the field has ample space to grow in terms of research and practice. Originality/value This research paper contributes to the literature on supply chain performance measurement.

Measuring agri-food supply chain performance: insights from the Peruvian kiwicha industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Ramos ◽  
Phillip S. Coles ◽  
Melissa Chavez ◽  
Benjamin Hazen
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Performance Management ◽  
Food Supply ◽  
Measurement Model ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Food Supply Chain ◽  
Content Type ◽  
Fuzzy Micmac

PurposeAgri-food firms face many challenges when assessing and managing their performance. The purpose of this research is to determine important factors for an integrated agri-food supply chain performance measurement system.Design/methodology/approachThis research uses the Peruvian kiwicha supply chain as a meaningful context to examine critical factors affecting agri-food supply chain performance. The research uses interpretative structural modelling (ISM) with fuzzy MICMAC methods to suggest a hierarchical performance measurement model.FindingsThe resulting kiwicha supply chain performance management model provides insights for managers and academic theory regarding managing competing priorities within the agri-food supply chain.Originality/valueThe model developed in this research has been validated by cooperative kiwicha associations based in Puno, Peru, and further refined by experts. Moreover, the results obtained through ISM and fuzzy MICMAC methods could help decision-makers from any agri-food supply chain focus on achieving high operational performance by integrating key performance measurement factors.

A framework for facilities management supply chain performance evaluation: case study of hotel buildings

Facilities ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fathima Nishara Abdeen ◽  
Yasangika Gayani Sandanayake ◽  
Thanuja Ramachandra
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Performance Measurement ◽  
Evaluation Framework ◽  
Facilities Management ◽  
Structured Interviews ◽  
Content Type ◽  
Measurement Systems ◽  
Performance Measurement Systems

Purpose The performance of the facilities management supply chain (FMSC) in the hotel sector is challenged by the diverse nature of parties involved, their relationships and the flows of services and products. Although performance measurement systems have been endorsed by researchers worldwide as a mechanism to evaluate and improve performance, there seems lack of mechanisms to evaluate the FMSC performance in hotels. Hence, this paper aims to develop a framework that would enable to evaluate FMSC performance in hotels. Design/methodology/approach A case study strategy was used, where 3 five-star hotels in Sri Lanka were studied for the purpose. The data was collected through semi-structured interviews conducted with 21 professionals involved in FMSC and through document reviews. A content analysis was performed and the framework was developed. This was validated with 3 subject matter experts in the field. Findings The study findings revealed that the FMSC process is different from manufacturing and service supply chain (SC) processes as it comprises both product and service elements and incorporates internal, as well as external customers. The developed FMSC process comprises seven sub-processes as follows: delivery of products, delivery of services, sourcing, make/fulfil, delivery of FM services and products, receipt of FM services and receipt of products by customers. Based on the derived FMSC process and the key activities, 38 key performance indicators were developed and used in the framework to evaluate the performance of FMSC. Originality/value The developed performance evaluation framework is expected to facilitate performance measurement of the SC and enhance its performance. Further, it would enhance cooperation among FMSC partners and assist in achieving FMSC excellence.

Developing integrated framework to measure performance of green supply chain management

2019 ◽  
Vol 27 (2) ◽  
pp. 634-665 ◽  
Author(s):  
Rakesh Kumar Malviya ◽  
Ravi Kant
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Organizational Performance ◽  
Performance Measures ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Measurement Framework ◽  
The Impact

Purpose The purpose of this paper is to explore green supply chain management (GSCM) performance measures and to develop a framework for evaluating the impact of GSCM implementation on organizational performance. Design/methodology/approach This research develops a performance measurement framework by integrating GSCM enabler with GSCM performance measures criteria. These criteria are selected from literature review and expert opinion. This study proposes a fuzzy balanced scorecard – fuzzy technique for order preference by similarity to ideal solution-based methodology to evaluate the overall organizational performance. The empirical case study of an Indian automobile organization is conducted. Further, the proposed framework is tested with three Indian Automobile organizations and their results are compared with the case organization. Findings The integrated methodology offers an effective way to measure and benchmark the impact of the proposed GSCM performance measurement framework. The empirical results show that the output of the proposed model is consistent. Thus, the study contributes to the advancement of knowledge toward GSCM and its management for sustainability. Research limitations/implications This study is limited to the automotive sector; hence the outcomes may not be comprehensively applicable across different sectors. The results cannot be applied to other sectors with other product and process specificities. Practical implications It helps the practitioners to measure and improve the effectiveness of GSCM implementation. Originality/value This study is the generalized performance measurement framework and can be used to measure the performance for any type of organizations to benchmark one organization with the other or the group of organizations.

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