Author
Gede Agus Widyadana
Other affiliations: Chung Yuan Christian University
Bio: Gede Agus Widyadana is an academic researcher from Petra Christian University. The author has contributed to research in topics: Supply chain & Economic production quantity. The author has an hindex of 11, co-authored 24 publications receiving 440 citations. Previous affiliations of Gede Agus Widyadana include Chung Yuan Christian University.
Papers
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TL;DR: This study is one of the first attempts by researchers to solve a deteriorating inventory problem with a simplified approach and the optimal solutions are compared with the classical methods for solving deteriorating inventory model.
96 citations
TL;DR: In this paper, the authors developed deteriorating items production inventory models with random machine breakdown and stochastic repair time, which assumes the machine repair time is independent of the machine breakdown rate.
59 citations
TL;DR: In this paper, the authors developed economic production quantity (EPQ) models for deteriorating items with rework and stochastic preventive maintenance time, which were solved using a search method, since a closed form solution cannot be derived.
Abstract: Economic production quantity (EPQ) models for deteriorating inventory have been investigated by many researchers in recent years. In this paper, we develop EPQ models for deteriorating items with rework and stochastic preventive maintenance time. The models are solved using a search method, since a closed form solution cannot be derived. A numerical example and sensitivity analysis are provided to evaluate the models. The sensitivity analysis shows that the deteriorating cost has a significant effect on the optimal inventory cost; however, the production and the demand rate have the most significant effect on the optimal total cost and the optimal production up-time period.
50 citations
TL;DR: In this article, machine unavailability is considered in deriving an economic production quantity (EPQ) model for deteriorating items, and the authors developed four EPQ models for deteriorating inventory with Random Machine Unavailability and shortage.
Abstract: Both random machine unavailability and shortage are common occurrences in manufacturing industries. In this paper, machine unavailability is considered in deriving an economic production quantity (EPQ) model for deteriorating items. We develop four EPQ models for deteriorating inventory with random machine unavailability and shortage. The study considers lost sales, backorder and two kinds of machine unavailability distributions. Numerical examples are provided to illustrate the theory. Key parameter changes that affect costs are shown in the sensitivity analysis. From the results of the sensitivity analysis, it is shown that the random machine unavailability parameter and holding cost have significant effects on the optimal total cost and production down-time.
47 citations
TL;DR: Results show that inventory management activities contribute considerably (17–22%) to total cost and emission rate and multiple tours performance is consistently better than single tour method.
Abstract: This study proposes a multi-objective green cyclic inventory routing problem (MOGCIRP) model to capture the influence of both transportation and inventory management toward cost and environmental issues. The proposed IRP considers single and multiple cyclic tours, handling time, and capacitated fleet with weight dependent fuel consumption to model more comprehensive logistics activities. A discrete multi-swarm particle swarm optimization (PSO) and a heuristic optimization are proposed to yield the Pareto set of MOCGIRP. Results show that inventory management activities contribute considerably (17–22%) to total cost and emission rate. Additionally, multiple tours performance is consistently better than single tour method.
37 citations
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TL;DR: In this article, the authors present a review of lot-size models which focus on coordinated inventory replenishment decisions between buyer and vendor and their impact on the performance of the supply chain.
Abstract: This article reviews lot-size models which focus on coordinated inventory replenishment decisions between buyer and vendor and their impact on the performance of the supply chain. These so-called joint economic lot size (JELS) models determine order, production and shipment quantities from the perspective of the supply chain with the objective of minimizing total system costs. This paper first describes the problem studied, introduces the methodology of the review and presents a descriptive analysis of the selected papers. Subsequently, papers are categorized and analyzed with respect to their contribution to the coordination of different echelons in the supply chain. Finally, the review highlights gaps in the existing literature and suggests interesting areas for future research.
257 citations
TL;DR: In this article, a production-inventory model is developed for a deteriorating item in a two-echelon supply chain management (SCM), and an algebraical approach is applied to find the minimum cost related to this entire SCM.
229 citations
TL;DR: An up-to-date review of perishable inventory models, but also of the joint key topics of publications from January 2012 until December 2015 in the research area of deteriorating inventory models is given.
206 citations
TL;DR: A comprehensive review of literature on the assembly line balancing is presented in this paper, where the main objectives of the design are to minimize the number of workstations for a given cycle time (type 1), minimize the maximum of the times of the workst stations (type 2), and so forth.
Abstract: Mass production system design is a key for the productivity of an organization. Mass production system can be classified into production line machining a component and production line assembling a product. In this paper, the production line assembling a product, which is alternatively called as assembly line system, is considered. In this system, balancing the assembly line as per a desired volume of production per shift is a challenging task. The main objectives of the assembly line design are to minimize the number of workstations for a given cycle time (type 1), to minimize the maximum of the times of workstations for a given number of workstations (type 2), and so forth. Because this problem comes under combinatorial category, the use of heuristics is inevitable. Development of a mathematical model may also be attempted, which will help researchers to compare the solutions of the heuristics with that of the model. In this paper, an attempt is made to present a comprehensive review of literature on the assembly line balancing. The assembly line balancing problems are classified into eight types based on three parameters, viz. the number of models (single-model and multi-model), the nature of task times (deterministic and probabilistic), and the type of assembly line (straight-type and U-type). The review of literature is organized as per the above classification. Further, directions for future research are also presented.
204 citations
TL;DR: In this article, an inventory system with non-instantaneous deteriorating items is considered, where demand rate is a function of advertisement of an item and selling price, and an algorithm is designed to find the optimum solutions of the proposed model.
Abstract: This paper considers an inventory system with non-instantaneous deteriorating item in which demand rate is a function of advertisement of an item and selling price. This paper aids the retailer in maximizing the total profit by determining optimal inventory and marketing parameters. In contrast to previous inventory models, an arbitrary holding cost rate and arbitrary deterioration rate have been incorporated to provide general framework to the model. First, a mathematical model is formulated and then some useful theoretical results have been framed to characterize the optimal solutions. The necessary and sufficient conditions for the existence and uniqueness of the optimal solutions are also derived. An algorithm is designed to find the optimum solutions of the proposed model. Numerical examples are included to illustrate the algorithmic procedure and the effects of key parameters are studied to analyze the behavior of the model.
171 citations