Supply chain performance metrics framework: literature review and research issues

Author(s):  
Dagne Birhanu ◽  
Krishnanand Lanka ◽  
A. Neelakanteswara Rao
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faisal Rasool ◽  
Marco Greco ◽  
Michele Grimaldi

Purpose In the previous decade, a substantial amount of research has been undertaken to measure the digitalized supply chain (DSC) performance. This paper aims to present a systematic literature review on DSC performance measurement metrics to apprehend current practices, recognize gaps and advocate future research itineraries. Design/methodology/approach To guarantee a replicable, rigorous and transparent research process, the authors used a systematic literature review methodology to synthesize the research. A combination of 25 keywords was used to obtain 248 scientific studies in the first step. The balance scorecard (BSC) model was used to categorize 299 gathered performance metrics into 4 BSC perspectives. Findings The review highlighted the need for qualitative performance measuring metrics for DSC. During the review, only one study was identified that primarily focused on developing performance metrics for DSC. Additionally, the review identified that metrics related to internal and financial perspectives received the most attention while the “growth and learning” perspective received the least attention. The review also identified that external partners, such as distributors and suppliers, were virtually ignored in previous literature. Originality/value Although numerous literature reviews have been conducted in the past on the performance measuring metrics for supply chain management, no literature review aiming to synthesize the measuring metrics for DSC has yet been undertaken.


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.


2021 ◽  
Vol 4 (2) ◽  
pp. 257-268
Author(s):  
Anyona Johnson ◽  
Karimi Peter ◽  
Maru Shital

BackgroundUnreliable supply systems have plagued the provision of an uninterrupted supply of life- saving medicines in many developing countries, with antiretroviral (ARV) medicines having the worst repercussions.ObjectiveTo identify the inventory management practices used, evaluate the supply chain performance, and determine the challenges affecting inventory management of ARV medicines in public hospitals.MethodsThe study used a descriptive cross-sectional design, gathering snapshot data on inventory management practices happening in all the 8 public hospitals across Nyamira County. Data collection was done using structured questionnaires, key informant interviews, checklists and data from the national health information system.ResultsThe response rate was 97.3% for the questionnaires and 100% for the key informant interviews. The prevailing inventory management practices were: use of scheduled inventory control model (80.95%), forecasting demand using previous consumption data (100%), keeping accurate and updated stock records for each commodity (92.31%), having essential logistical data in reports (100%), including safety stock (61.54%) when ordering and keeping ARV medicines in dedicated stores (75%). With the exception of order lead time (17.98 days), the other supply chain performance metrics namely stock out rate (52.12%), stock wastage rate (43.2%), and reporting rates (70.84%) were found to be deficient. The challenges mostly affecting inventory management included inadequate staff and training, lack of proper storage, and unreliable supply of medicines.ConclusionInventory management practices were according to the recommended best approaches despite various challenges. The supply chain performance metrics evaluated, with the exception of order lead time, were all found to be unsatisfactory owing to the high stock out rates, below par reporting rates and high stock wastage rate due to expiries discovered. Adoption of an electronic inventory system, use of data for decision making, dedicated storage of ARV medicines, and inclusion of buffer stock, are some strategies to improve inventory management.Rwanda J Med Health Sci 2021;4(2): 257-268


2022 ◽  
Vol 19 ◽  
pp. 442-452
Author(s):  
Ghufran Saed Hijjawi

The purpose of this paper is empirically assessment of the impact of the green supply chain on supply chain performance in terms of social, operational, and environmental, for Jordanian chemical industries. In this paper, the proposed model was developed based on literature review and previous exploratory studies related to GSC and different kinds of SC performance. Tested on sample equal 150 managers of Jordanian detergent manufacturing factories and the returned ones that applicable for analysis were 120 questionnaires, which analyzed using AMOS 27. The results were as follows: there is no impact of green purchase, green production, and green distribution on supply chain performance. While there is an impact of green supply and green design on SC performance, taking into consideration the community and region of study.


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