Aggregate procurement, production, and shipment planning decision problem for a three-echelon supply chain using swarm-based heuristics

Pal, Abhishek; Chan, Felix T. S.; Mahanty, Biswajit; Tiwari, Manoj Kumar

doi:10.1080/00207541003730847

Cited by 37 publications

(21 citation statements)

References 40 publications

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“…Several groups of researchers have considered supply chain-oriented APP problems. Several solution techniques have been utilized by the researchers to manage practical APP problems in a supply chain network like robust optimization (Kanyalkar and Adil 2010;Mirzapour Al-E-Hashem et al 2011;Niknamfar et al 2014), simple linear programming (Mirzapour Al-e-hashem et al 2012), stochastic programming (Mirzapour Al-e-hashem et al 2013, fuzzy programming (Aliev et al 2007;Paksoy et al 2010;Pathak and Sarkar 2012;Torabi and Hassini 2009;Yaghin et al 2012), bi-level programming, system dynamics approach (Mendoza et al 2014) and heuristic algorithm (Pal et al 2011). Kanyalkar and Adil (2010) presented a robust optimization methodology for aggregate planning of a multi-site procurement-production-distribution system.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Mendoza et al (2014) recommended a novel method to evaluate different APP strategies in a manpower-intensive supply chain considering system dynamics approach. Applying swarm-based heuristics, Pal et al (2011) modeled a problem of aggregate purchasing, manufacturing and shipment planning for a supply chain extending over three echelons. Gholamian et al (2015) use the mixed-integer linear programming/fuzzy optimization for solution fuzzymathematical model to incorporate four objectives.…”

Section: Literature Reviewmentioning

confidence: 99%

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Cooperative aggregate production planning: a game theory approach

2019

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Production costs in general, and workforce and inventory costs in particular, constitute a large fraction of the operating costs of many manufacturing plants. We introduce cooperative aggregate production planning as a way to decrease these costs. That is, when production planning of two or more facilities (plants) is integrated, they can interchange workforce and products inventory; thus, their product demands can be satisfied at lower cost. This paper quantifies the cost saving and synergy of different coalitions of production plants by a new linear model for cooperative aggregate planning problem. The developed approach is explicated with a numerical example in which inventory and workforce levels of different coalitions of facilities are evaluated. Afterward, a key question would be how the cost saving of a coalition should be divided among members. We tackle the problem using different methods of cooperative game theory. These methods are implemented in the numerical example to gain an insight into properties of the corresponding game results.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Cooperative aggregate production planning: a game theory approach

2019

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“…Lee (2005) [45] tried to minimize the total ordering cost, set up cost and, inventory cost by suggesting coordination between production and inventory lot sizing model. However, the work of Lee (2005) [45] was extended by Pal et al [46]. Pal et al [46] suggested an integral approach of procurement, production and, shipment model for minimizing total supply chain cost.…”

Section: Lot Size Problemmentioning

confidence: 99%

“…However, the work of Lee (2005) [45] was extended by Pal et al [46]. Pal et al [46] suggested an integral approach of procurement, production and, shipment model for minimizing total supply chain cost. Önal (2016) [47] tried to formulate an economic lot size model of perishable product by integrating optimal logistic and , inventory cost.…”

Section: Lot Size Problemmentioning

confidence: 99%

A holistic framework for lot sizing problem in fast-moving perishable products

Sinha

Anand

2018

Scientia Iranica

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One of the major challenges being faced by manufacturing companies today is the issue of addressing various aspects of perishable products in a supply chain environment. To address this issue, the integrated lot size problem for a perishable product has been investigated in the present work. The problem is modeled as a single vendor multiple buyer system. A variant of the truckload discount scheme is applied and the proposed model is formulated as a mixed integer program (MIP). The traditional warehouses are replaced by 'cross-docks' and situations in which, cross-docking would be more beneficial are highlighted. The problem of fleet selection is also addressed and various strategies to minimize the vendor cost are also highlighted for centralized and decentralized supply chains.Sensitivity analysis is then carried out on various input parameters such as setup cost at plant, variable transportation cost, fixed transportation cost, setup cost per order, holding cost and, lost cost, which underscores the significant impact of economies of scale in transportation on the total supply chain cost.Analysis of lead time-cost trade-off reveals that alternate modes of transportation could be explored, which significantly reduces the lead time of transportation, thereby minimizing the total supply chain cost.towards sustainability in the global competitive environment [2]. In the current times, the concept of SC network has been shifting from traditional SC environment. Nowadays, SC is an integral system of raw materials, material procurement, suppliers, manufacturing processes, assembly, dispatch, logistics, inventory, cross-docks, warehouses, end customers and, finally recycling of the product [3]. The SC environment is also defined as an effective management of all components / partners related to SC network which include transportation and replenishment of raw materials either inside the manufacturing shop floor or shipment of finished goods along with transportation decisions (mode of shipment, lot size and, fleet selection) for yielding competitive advantages for all individual components / partners [4-5] . SC network design mainly consists of three levels namely strategic, tactical and, operational decisions [6]. Strategic decisions mainly emphasize on production, assembly and, distribution to fulfill the demand of end customers. Tactical decisions describes the management policy for flow of materials, decisions related to various production level, assembly section, inventory control and, lot sizes. Decisions on operational level deals with scheduling of different operations of SC network for making responsive SC design including coordination in logistic network for assuring on time delivery of the product to the end customer at low cost with least environmental impact [7-8]. However, logistic network which is a part of green supply chain network is one of the major challenging tasks for every manufacturing industry.Moreover, perishability is one of the key issues in a supply chain environment. Integration of product...

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“…Methods for selecting the right suppliers have been studied since the 1960s with Voss [14] suggesting that the most important criteria are price, quality and delivery reliability. Similarly, different types of performance measurement metrics which may be product, supplier or society-related have been developed [15] and a number of concepts relating to supplier selection and supplier performance have also evolved; these include theories on competitive priorities and order qualifiers/winners. Competitive priorities reflect the strategic decision taken by manufacturers and form the basis of how the organisation intends to compete with others [16]; competitive priorities that have been identified include cost, quality, delivery, product variety and flexibility [17].…”

Section: Literature Reviewmentioning

confidence: 99%

Supplier qualification for high-value goods and services in Nigeria: a comparison of qualified and non-qualified suppliers

Ojadi

Tickle

Adebanjo

et al. 2016

International Journal of Logistics Research and Applications

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This study set out to understand the capabilities of suppliers of high value products and services in Nigeria. Supplier capability data was collected from almost 500 potential suppliers across 28 product categories. The findings indicate that only a small minority of potential suppliers achieved the required levels of performance and that very few companies have suitable operational capabilities or corporate citizenship behaviour.Furthermore, significant differences were found between service suppliers and product suppliers with regard to performance. The findings suggest that the majority of suppliers of products and services in Nigeria need to improve their operational capabilities and corporate citizenship behaviours or else risk losing their ability to compete in a changing market place with new barriers to entry.

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Aggregate procurement, production, and shipment planning decision problem for a three-echelon supply chain using swarm-based heuristics

Cited by 37 publications

References 40 publications

Cooperative aggregate production planning: a game theory approach

Cooperative aggregate production planning: a game theory approach

A holistic framework for lot sizing problem in fast-moving perishable products

Supplier qualification for high-value goods and services in Nigeria: a comparison of qualified and non-qualified suppliers

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