Perencanaan Jadwal dan Rute Distribusi Rokok Untuk Menekan Total Biaya Transportasi

One of the main issue in improving the customer service is how to deliver the product on time to customers. Therefore, the stakeholders need to apply an appropriate strategy in order to make distribustion process become more efficient and effective. Because it is hard to determine appropriate schedule and route when dealing with a lot agents, PR 567 as a representative distributor of cigarette in Purwodadi attempts to make its distribution process better. This was done by using PVRP (Periodic Vehicle Routing Problem) model with cluster first-second route approach and optimization method for assigning vehicle. The result of this research were frequency, schedule, and route with the most minimum transportation cost. In this research, the distribution area was defined into two cluster. The best delivery frequency for cluster one was once week, while cluster two was three times a week. The transportation cost was Rp725805/week. In the other hand, the saving cost was Rp320189/week or 44%/week from the initial cost

Six Sigma Approach with Integration of FMEA-Fuzzy SWARA-Fuzzy WASPAS to Minimize Bottled Water Defects

Along with the increasingly tight competition, companies are required to always be consistent in improving the quality of its products. Improvement of product quality can be achieved through minimization or even reduction of product defects. This study aims to minimize defects by providing improvement suggestions based on critical failure modes The Six Sigma approach is adopted to reduce the occurrence of product defects. The FMEA-FSWARA-FWASPAS FMEA method is integrated in the six sigma approach, especially to determine the priority of failure modes and the recommended efforts to minimize failure modes that trigger product defects. FSWARA is used to determine severity, occurrence, and detection weights as failure mode assessment criteria. Meanwhile, determination of the critical failure mode is based on the results of the evaluation using FWASPAS. This research is based on a case study in which 5 types of defects were found, namely, skewness, underfilling, leaks, broken lids, and broken boxes. The main causes lie in the human factor and the machine factor. The results showed that there were 3 critical failure modes, namely, the wrong setting of the cutter timer by the operator, the frequent change in the heater temperature, and material getting damage

Fertilizer Production Planning Optimization Using Particle Swarm Optimization-Genetic Algorithm

Background: The applications of constrained optimization have been developed in many problems. One of them is production planning. Production planning is the important part for controlling the cost spent by the company. Objective: This research identifies about production planning optimization and algorithm to solve it in approaching. Production planning model is linear programming model with constraints : production, worker, and inventory. Methods: In this paper, we use heurisitic Particle Swarm Optimization-Genetic Algorithm (PSOGA) for solving production planning optimization. PSOGA is the algorithm combining Particle Swarm Optimization (PSO) and mutation operator of Genetic Algorithm (GA) to improve optimal solution resulted by PSO. Three simulations using three different mutation probabilies : 0, 0.01 and 0.7 are applied to PSOGA. Futhermore, some mutation probabilities in PSOGA will be simulated and percent of improvement will be computed. Results: From the simulations, PSOGA can improve optimal solution of PSO and the position of improvement is also determined by mutation probability. The small mutation probability gives smaller chance to the particle to explore and form new solution so that the position of improvement of small mutation probability is in middle of iteration. The large mutation probability gives larger chance to the particle to explore and form new solution so that the position of improvement of large mutation probability is in early of iteration. Conclusion: Overall, the simulations show that PSOGA can improve optimal solution resulted by PSO and therefore it can give optimal cost spent by the company for the planning

Aplikasi Metode Taguchi Untuk Menurunkan Tingkat Kecacatan Pada Produk Paving

Home Industry Putih Jaya is a company engaged in the paving blocks manufacturing which in producing paving certainly wanst to minimize any product defects. Known types of paving product  that often occured is an easily cracked paving. An effort in the first stage to reduce the level of disability in this company is to identify the factors that affect product quality paving using fishbone diagram followed by the Taguchi method which is to determine the most influential factor and improve product quality paving so the defect rate can be  decreased. From the data calculation with the fishbone diagram, there are six factors that influential. Among the six factors, those will be identified factor has  the greatest influence resulting product quality deviates toward standards quality. Conclusion of the results showed that percentage of defect that occurs in the company initially around 4%, while by using the proposed improvement by Taguchi method decreases to 2%.  The decreasing of defect percentage of defect means that the improvement of product quality is successfully. The factors the most influential factors to  the paving is a drying process with the largest value of percent contribution in the amount of 34.5%

Hybrid MCDM and simulation-optimization for strategic supplier selection

Supplier selection for strategic items requires a comprehensive framework dealing with qualitative and quantitative aspects of a company’s competitive priorities and supply risk, decision scope, and uncertainty. In order to address these aspects, this study aims to tackle supplier selection for strategic items with a multi-sourcing, taking into account multi-criteria, incorporating uncertainty of decision-makers judgment and supplier–buyer parameters, and integrating with inventory management which the past studies have not addressed well. We develop a novel two-phase solution approach based on integrated multi-criteria decision-making (MCDM) and multi-objective simulation-optimization (S-O). First, MCDM methods, including fuzzy AHP and interval TOPSIS, are applied to calculate suppliers’ scores, incorporating uncertain decision makers’ judgment. S-O then combines the (quantitative) cost-related criteria and considers supply disruptions and uncertain supplier–buyer parameters. By running this approach on data generated based on previous studies, we evaluate the impact of the decision maker’s and the objective’s weight, which are considered important in supplier selection

Reverse Logistics Modeling Considering Environmental and Manufacturing Costs: A Case Study of Battery Recycling in Indonesia

This article models a reverse logistics network for battery recycling with consideration of environmental and manufacturing costs. The model is developed for a reverse flow multi-echelon supply chain, from end customers to the remanufacturing process. Linear programming is used to formulate mathematical models and LINGO® is applied to solve the problem of determining optimal orders for and sales of recycled batteries, lead alloy and plastics, as well as the optimal level of safety stock (service level) for the recycling centers along the reverse logistics network. The number of battery orders from unused battery collectors, and the sales of lead alloy and plastics to the remanufacturing process considering transportation, environmental cost, disassembly cost and inventory costs, are found optimally in different periods. The study also indicates that there is a correlation between the associated costs and inventory decisions and total profit in recycling centers