Table 1.

Empirical studies

SourceTitleApproach, methodological choice and strategyContextFindings and conclusions
Ambrosio-Flores et al. (2022) Warehouse management model integrating BPM-Lean warehousing to increase order fulfilment in SME distribution companiesMethodological approach: empirical Methodological choice: mixed Methodological strategy: case studySME food company: Supply chain, logistics and distribution in PeruThis research aims to enhance customer satisfaction by pinpointing and evaluating the underlying issues affecting information flow, warehouse management, inventory control and the absence of standard operating procedures. These issues have been detrimental to customer satisfaction, particularly regarding order delivery. After identifying these issues, a framework incorporating Lean warehousing techniques, including multi-criteria ABC analysis, 5S methodology, Kardex systems, standardisation of work procedures and BPM methodology, was implemented. This framework notably improved customer satisfaction metrics related to order completeness and other key indicators, such as inventory accuracy, location precision, coverage, cycle time and productivity
Benmamoun, Hachimi and Amine (2017) Inventory management optimisation using lean six-sigma case of spare parts Moroccan companyMethodological approach: empirical Methodological choice: mixed Methodological strategy: case studyEngine spare parts company: Project management in MoroccoLean management is implemented to improve the organisation’s management and gain a competitive advantage. This study focuses on reducing waste to produce the exact quantity the customer needs, eliminating excess stock and stock shortage wastes. The study applied the lean six sigma methodology of DMAIC to calculate inventory requirements
Gnoni et al. (2017) Analyzing the transition from just-in-time to just-in-sequence: a simulation-based approach from the automotive sectorMethodological approach: empirical Methodological choice: quantitative Methodological strategy: case studyAutomotive sector: Manufacturing and production in ItalyTo address issues of the trade-off between system responsive and inventory management costs impacting customers’ satisfaction and cost efficiencies, lean production and just-in-time (JIT) have been implemented in the automotive industry to reduce inefficiencies, improve quality and meet timing requirements. In this study, an innovation production model is designed using the just-in-sequence (JIS) approach to shorten lead times and on-time deliveries to customers while maintaining low inventories and fast throughput. A discrete event simulation model is created to evaluate the performance of the JIS process and differentiate it from the traditional JIT approach
Rajani, Heggde et al. (2022) Demand management strategies role in the sustainability of service industry and impacts the performance of company: Using SEM approachMethodological approach: empirical Methodological choice: quantitative Methodological strategy: surveyService industry: in IndiaThis study explores how supply chain risks (SCRs) and demand management strategies (DMS) relate to company performance. The findings highlight the interdependent connection between SCRs and company performance, where DMS is an intermediary. Risks stemming from demand variability affect strategies like demand planning and forecasting. Efforts to manage customer arrival peaks boost the competitive performance of supply chains. Adjusting capacity to match demand during slower periods influences demand management techniques, enhancing supply chain performance, customer satisfaction and financial outcomes
Villacrez-Zelada et al.(2022) Service level optimisation using ABC distribution, forecasts and the packaging and stowage model through lean warehousing at an SME marketing companyMethodological approach: empirical Methodological choice: quantitative Methodological strategy: case studySME retailer: supply chain, logistics and distribution in PeruThis study applies lean warehousing methodology to demand forecasting, inventory policies and the improvement of picking and packaging processes and increasing customer service levels. The service levels are measured with perfect order indicators. The study’s results propose that service levels will increase, which is the best practice measure for suitable conditions to satisfy customer requirements
Source(s): Prepared by the authors

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