This study measures the performance of service operations of a café with waiting and service time parameters for customer satisfaction. The study contributes to reducing the lead time through standardized service time using Tailor-made Value Stream Mapping, Root Cause Analysis (RCA), and Time Study. This study observes the writer during a service operation at a café. The current state of VSM is created and followed by time study and analysis. The RCA is constructed based on brainstorming activity. It is suggested to improve the current process which is reflected in the future-state VSM. Lastly, this paper compares overall performance before and after the improvement implementation to conclude the effectiveness of this study. The result shows the increasing performance for food and beverage service in terms of VA, NNVA, NVA, LT, and PCE indicators. Ultimately, the lead times for serving beverages and appetizers decreased by 2.654 and 13.13 minutes, respectively.
Recently, the expand of industrial market has led to have long supply chain network. During the long shipment, the probability of having damaged products is likely to occur. The probability of having damaged products is different between stages and that could lead to higher percentage of damaged products when arrived at retailers. Many companies have rejected the entire shipment because the damaged product percentage was higher than that agreed on. Decision-makers have tried to reduce the percentage of damaged products that happened because the transit, loading unloading the shipment, and natural disasters. Companies started to implement recovery centers in the supply chain network in order to return their system steady statues. Recovery models have been developed in this paper to reduce the damaged percentage at minimum costs to do so. Results show that the possibility of implementing an inspection unit and a recovery centers in the system before sending the entire shipment to the retailer based on examining a sample size that has been selected randomly from the shipment and the minimum cost of committing type I and type II errors. Designing a methodology to minimize the total cost associated with the supply chain system when there is a possibility of damage occurring during shipping is the objective of this research.
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