Operations policy for a supply chain system with fixed-interval delivery and linear demand

Diponegoro, Ahmad; Sarker, Bhaba R.

doi:10.1057/palgrave.jors.2602199

Cited by 16 publications

(5 citation statements)

References 18 publications

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“…Research shows the impact of the supply process on the operation costs and service level for distribution in a supply chain [19]. In the field of supply chain, the policy [39] and contracting [40] aspect also have more and more research results. Examples show that in order to increase the efficiency of supply chain solutions, especially in the case of JIT/JIS supply, the focus should be shifted to the integrated approach, where the analysis of complete supply chain solutions includes purchasing, in-plant supply, distribution, and inverse processes [41,42].…”

Section: Content Analysismentioning

confidence: 99%

Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach

et al. 2019

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The just-in-sequence inventory strategy, as an important part of the supply chain solutions in the automotive industry, is based on feedback information from the manufacturer. The performance, reliability, availability and cost efficiency are based on the parameters of the members of the supply chain process. To increase the return on assets (ROA) of the manufacturer, the optimization of the supply process is unavoidable. Within the frame of this paper, the authors describe a flower pollination algorithm-based heuristic optimization model of just-in-sequence supply focusing on sustainability aspects, including fuel consumption and emission. After a systematic literature review, this paper introduces a mathematical model of just-in-sequence supply, including assignment and scheduling problems. The objective of the model is to determine the optimal assignment and schedule for each sequence to minimize the total purchasing cost, which allows improving cost efficiency while sustainability aspects are taken into consideration. Next, a flower pollination algorithm-based heuristic is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to increase cost-efficiency in just-in-sequence solutions.

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Section: Content Analysismentioning

confidence: 99%

Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach

et al. 2019

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“…Also, they suggested two policies so that the supplier can satisfy customers' demand with single setup multiple delivery, multiple setup multiple delivery. Diponegoro and Sarker (2007) studied an operational policy for a lean supply chain system consisting of a manufacturer, multiple suppliers and multiple buyers. He dealt with three interrelated problems in supply chain.…”

Section: Introductionmentioning

confidence: 99%

“…He formulated these problems as mixed-integer, nonlinear programming problems with discrete, non-convex objective functions and constraints. Diponegoro and Sarker (2007) also developed a closedform heuristic which provided near optimal solutions and tight lower bounds. Hoque (2009) considered the single-vendor single-buyer integrated production inventory problem where the lot is transferred by some researchers in shipments of equal and/or unequal sizes.…”

Section: Introductionmentioning

confidence: 99%

“…During the model development, all of the researchers (Chen & Sarker, 2010;Mungan et al, 2010;Hoque, 2009;Diponegoro & Sarker, 2002, 2007, 2009Sarker & Parija, 1994;Parija & Sarker, 1999;Khan & Sarker, 2002;Wang & Ye, 2018;Kim & Shin, 2019;Mardani et al, 2020) considered that the system remains idle until the shipments are made. Figure 2 shows the production with just-in-time (JIT) delivery.…”

Section: Introductionmentioning

confidence: 99%

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Operational planning of supply chains in a production and distribution center with just-in-time delivery

Biswas

Sarker

2020

JIEM

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Purpose: A supply chain consists of raw material suppliers, manufacturers and retailers where inventory of raw materials and finished goods are involved, respectively. Therefore, it is important to find optimal solutions, which are beneficial for both supplier, manufacturer and retailer.Design/methodology/approach: This research focuses on a semi-continuous manufacturing facility by assuming that the production of succeeding cycle starts immediately after the production of preceding cycle. In reality, the inventory of a supply chain system may not be completely empty. A number of products may be left over after the deliveries are made. These leftover inventories are added to the next shipment after the production of required amount to makeup a complete batch for shipment. Therefore, it is extremely important to search for an optimal strategies for these types production facilities where leftover finished goods inventory remains after the final shipment in a production cycle. Considering these scenarios, an inventory model is developed for an imperfect matching condition where some finished goods remains after the shipments.Findings: Based on the previous observation, this research also considers a single facility that follows JIT delivery and produces multiple products to satisfy customers’ demand. For this problem a rotational cycle model is developed to optimize the facility operations. Both problems are categorized as mixed integer non-linear programming problems which are to be solved to find optimum number of orders, shipments and rotational cycle policy for multiple products. Also, this solution will lead to estimate the optimum production quantity and minimum total system cost.Research limitations: This research considers the supply chain based on manufacturers point of view and it does not consider the transportation cost associated with supply chain. Next study will be focused on issues with joint decision making, information sharing, and transportation decision.Practical implications: This study will help the managers of refinery and paper industries in making their operation smooth by applying optimizing techniques and robust decision making.Originality/value: Based on the literature, no research was found on continuous production system supply chain and its optimization with JIT delivery. This research will definitely provide a direction for such problem to the researchers.

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“…Most of the supply chain coordination models assume that the vendor's production rate is known and constant for a known or varying demand rate (Diponegoro and Sarker, 2007) of the buyer. Chen and Chen (2005) developed a two-echelon multi-item supply chain model in which the demand rate of each item is assumed to be time proportional, whereas the production rate of each item is assumed to be predetermined and fixed.…”

Section: Introductionmentioning

confidence: 99%

Supply chain model for a deteriorating product with time-varying demand and production rate

Giri

Maiti

2012

Journal of the Operational Research Society

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The paper develops a two-echelon supply chain model with a single-buyer and a single-vendor. The buyer sells a seasonal product over a short selling period and its inventory is subject to deterioration at a constant rate over time. The vendor's production rate is dependent on the buyer's demand rate, which is a linear function of time. Also, the vendor's production process is not perfectly reliable; it may shift from an in-control state to an out-of-control state at any time during a production run and produce some defective (non-conforming) items. Assuming that the vendor follows a lot-for-lot policy for replenishment made to the buyer, the average total cost of the supply chain is derived and an algorithm for finding the optimal solution is developed. The numerical study shows that the supply chain coordination policy is more beneficial than those policies obtained separately from the buyer's and the vendor's perspectives.

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Operations policy for a supply chain system with fixed-interval delivery and linear demand

Cited by 16 publications

References 18 publications

Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach

Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach

Operational planning of supply chains in a production and distribution center with just-in-time delivery

Supply chain model for a deteriorating product with time-varying demand and production rate

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