This paper studies the problem of integrated lot-sizing and maintenance decision making in case multiple products stochastic demand. The is formulated as a Markov process, which goal to find joint production policy that minimizes long run expected total discounted cost. Therefore, classic Q-learning algorithm adopted, decomposition-based approximate Q-value heuristic developed obtain near-optim...

This study examines a multi-item manufacturing problem with single machine, an outsourcer, and random defective items. To cope the increasing multi-product demands from global markets, modern firms must make efficient production plan to satisfy customer’s needs quality goods smooth in-house fabrication schedule utilization. Outsourcing is effective option avoid machine overloads schedules. Furt...

The recent COVID-19 pandemic experience intensified the significance of hygiene in service industry. It is crucial to measure how practice adaptations and technology adoptions servicescapes have been perceived by customers regarding post-COVID-19 era. However, extant scales do not serve purpose contributions technology-specific practice-specific changes. Thus, this research was develop a multi-...