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This research was conducted in manufacturing industry, so this research is based on case study application. This research serves to reduce waste in the industry when making a product. This study categorizes value-added work and which work has no added value. And it is measurable and has value, so it can be evaluated in the future. Later this will be poured or depicted on a map called Value stream mapping. This is a tool from Lean Manufacturing. Lean manufacturing is useful for analysing and reducing non value-added activities, value stream mapping analysis tools, 5L1H process mapping activities, and 5 why tools. From the results of this study obtained the efficiency of the process cycle and total estimation of the improvement of the lead time. This calculation can be an evaluation material for the company.

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This study describes production scheduling to minimize the delay in delivering products to consumers. Production scheduling using Nawaz, Enscore, Ham (NEH) Algorithm is done to minimize the total processing time of the product so that the product is finished on time. The fulfillment of due date affects the process of delivering products to consumers. Production scheduling is done in the furniture industry that runs the First-Come-First-Serve (FCFS) scheduling system. This study also compares the performance of the FCFS scheduling system with NEH Algorithm. FCFS scheduling is the existing scheduling systemthat has been implemented. The results of production scheduling with the NEH algorithm indicate the time required to complete all of orders (makespan) more shorter than the First Come First Serve method. the NEH Algorithm is smaller at 78.61 hours or 5.07% than than company’s actual method, the FCFS system. The performance of NEH algorithm also proves that it is better than company’s actual method with the efficiency index value of 1.05.