Abstract:Recently, the problem of minimizing emission carbon in the industry has become a focus of much research. One of the efforts that were successfully carried out was managing the sustainable economics order quantity (SEOQ). However, several SEOQ had assumption such as (1) Transportation and warehouse costs are ignored, (2) Transportation emissions are avoided, and (3) warehouse Capacity Limit are ignored. In this paper, we developed the SEOQ model with warehouse costs and capacity limits. There are two proposed S… Show more
“…is decision impacts the low frequency of delivery. However, the inventory costs incurred are high, causing high operating costs for the company [14][15][16]. In addition to transportation problems, the problem of decreasing quality is an important problem in inventory [17].…”
Freight transportation plays a critical role in improving company performance in the modern manufacturing industry. To reduce costs, companies must take advantage of the use of large vehicles. It caused fewer deliveries, but inventory costs and degradation quality are high. One of the joint economic lot size (JELS) problems in supply chain is Integrated Single-Vendor Single-Buyer Inventory Problem (I-SVSB-IP). This study developed the I-SVSB-IP model that considers raw materials’ exponential quality degradation and transportation costs. The objective function of this research was to maximize the Joint Total Profit (JTP). Three decision variables used were inventory cycle time (T), raw material ordering frequency (m), and frequency of delivery of finished products to buyers (n). This study proposed a sophisticated Chimp Optimization Algorithm (ChOA) procedure to solve the I-SVSB-IP problem. A case study on the food industry in Indonesia was presented to optimize the I-SVSB-IP. The results showed that the ChOA procedure had produced an optimal solution compared to the state-of-the-art algorithm. This study also demonstrated a sensitivity analysis of decision and transportation variables to cost, revenue, and JTP. The results show that increasing transport frequency of ordering raw materials (m) and finished products to buyers (n) enhances the total cost and reduces joint total profit. In addition, increasing the rate of quality degradation of raw materials reduces JTP.
“…is decision impacts the low frequency of delivery. However, the inventory costs incurred are high, causing high operating costs for the company [14][15][16]. In addition to transportation problems, the problem of decreasing quality is an important problem in inventory [17].…”
Freight transportation plays a critical role in improving company performance in the modern manufacturing industry. To reduce costs, companies must take advantage of the use of large vehicles. It caused fewer deliveries, but inventory costs and degradation quality are high. One of the joint economic lot size (JELS) problems in supply chain is Integrated Single-Vendor Single-Buyer Inventory Problem (I-SVSB-IP). This study developed the I-SVSB-IP model that considers raw materials’ exponential quality degradation and transportation costs. The objective function of this research was to maximize the Joint Total Profit (JTP). Three decision variables used were inventory cycle time (T), raw material ordering frequency (m), and frequency of delivery of finished products to buyers (n). This study proposed a sophisticated Chimp Optimization Algorithm (ChOA) procedure to solve the I-SVSB-IP problem. A case study on the food industry in Indonesia was presented to optimize the I-SVSB-IP. The results showed that the ChOA procedure had produced an optimal solution compared to the state-of-the-art algorithm. This study also demonstrated a sensitivity analysis of decision and transportation variables to cost, revenue, and JTP. The results show that increasing transport frequency of ordering raw materials (m) and finished products to buyers (n) enhances the total cost and reduces joint total profit. In addition, increasing the rate of quality degradation of raw materials reduces JTP.
“…In addition, in the allocation order, fuel transportation cost received less attention in the GSSOA issue. The transportation sector contributes the most significant carbon emissions in the world [26]- [28]. However, the goal allocation order does not only minimize fuel transportation costs.…”
Increased competition in the industrial world forces companies to increase their competitiveness through Green Supply Chain Management (GSCM). The key to the success of GSCM is the selection of suppliers and the allocation of the proper order by taking into account environmental aspects. This decision involves several criteria and must also pay attention to the relationship between criteria. This study proposes a hybrid procedure to solve Green Supplier Selection and Order Allocation (GSSOA). The integration of Decision Making Trial and Evaluation Laboratory (DEMATEL), Analytic Network Process (ANP), and Multi-Criteria Goal Programming (MCGP) are proposed to solve this problem. The DEMATEL is used to calculate the relationship between criteria. Furthermore, the ANP is proposed to determine the weight of the criteria and supplier ranking. Finally, the MCGP method is offered for allocating orders based on priority suppliers. A case study on the food industry in Malang, Indonesia, was conducted to apply this procedure. The results showed that the low defects rate criterion is the most important compared to other criteria. The best supplier was successfully selected, and the order allocation was completed. Order allocation priority is to suppliers D, C, A, and B. This study also presents a sensitivity analysis for order allocation.
“…Bouchery, et al [26] suggested a multi-objective model of sustainable transportation and order quantity. The model involving Transportation, Warehouse, Emission Carbon Costs, and Capacity Limits was proposed by Utama, et al [27].…”
Section: Introductionmentioning
confidence: 99%
“…This study tried to develop a sustainable EOQ model with Multi Container Transportation Problems. This research model was developed from research conducted by Utama, et al [27]. In the previous model, they did not consider the number of containers transported.…”
Industrial developments and environmental problems encourage decision-makers to determine optimal decisions. In addition, transportation is an aspect that has a significant contribution to environmental damage. Therefore, inventory and transportation decisions need to be integrated to minimize environmental problems. This study made an effort to develop a model of Sustainable EOQ with Multi Container Transportation Problems. The optimal procedure was proposed to determine the optimal number of containers in one vehicle. The results suggested that the proposed procedure could minimize the total annual inventory cost compared to the company's current solution.
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