Integrated production distribution problem in a partial backorder and order refusal environment

Abraham, Anand; Ramanan, T. Radha; Sridharan, R.; Kumar, Kunal

doi:10.1504/ijmcp.2019.100668

Cited by 2 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Selim et al [37] developed a multiobjective MILP model for collaborative production-distribution planning problem using fuzzy goal programming approach. Ratna Kumar et al [31] proposed an integrated production-distribution planning problem that considers fixed cost, setup cost, and core demand for multiple products in an environment with backordering and order refusals. They carried a sensitivity analysis to investigate the behavior of the model when input conditions are varied.…”

Section: Integrated Production-distribution Planningmentioning

confidence: 99%

See 1 more Smart Citation

The beneficial effect of information sharing in the integrated production–distribution planning of textile and apparel supply chain

et al. 2021

View full text Add to dashboard Cite

The present paper proposes an integrated production-distribution planning approach for a textile and apparel supply chain. Tactical and operational decisions are considered in the proposed multi-product and multi-period planning problem. Using a rolling horizon, the approach aims at defining optimal quantities to produce, to store and to deliver. The integration consists in coordinating informational flows between producer and retailer. Information sharing will allow the producer to estimate more accurately the future replenishment orders that may happen at the operational level and adjust production capacity requirements accordingly. For this purpose, a two-stage planning approach is devised; the first stage deals with the tactical level while the second stage deals with the operational level. The monthly decisions taken at the tactical planning level are accounted for in the operational planning considering a variable rolling horizon. Moreover, accurate forecasts of future replenishment orders are established based on information sharing and introduced in the operational planning to determine the weekly decisions. Linear programming models are used to build production and distribution plans at the tactical and operational levels. Using real life data from a textile and apparel Tunisian firm, we show that producer-retailer coordination based on the sharing of current sales information, yields significant cost savings reaching up to 20% of the supply chain cost. These findings can only motivate the partnership between producer and retailer through reliable information sharing in joint tactical-operational and production-distribution planning.

show abstract

Section: Integrated Production-distribution Planningmentioning

confidence: 99%

“…Some other papers study the case of multiple manufacturers with multiple products [18,19,43], though the latter are limited to a single period. Other works consider the multi-product and multi-period problem [15,23,31,34,37].…”

Section: Introductionmentioning

confidence: 99%

The beneficial effect of information sharing in the integrated production–distribution planning of textile and apparel supply chain

et al. 2021

View full text Add to dashboard Cite

show abstract

“…This might not be a direct revenue management problem, but it shows how a multi criteria decision making algorithm can impact revenue related problems. Kumar et al (2019) also did research on the efficiency of supply chain. In this particular research, authors were focussed on back order instances and how they might influence a firm's revenue stream on the long run.…”

Section: Literature Reviewmentioning

confidence: 99%

Revenue management using dynamic pricing strategies: modelling and simulation

Akhiljyoth¹,

Vinod²

2021

IJMCP

View full text Add to dashboard Cite

Studies in the field of revenue management have a history of many decades. This practice has grown from its origins in air travel to its current status as a major business practice in a wide range of industry areas including hospitality, energy, retail, manufacturing, and many more. Majority of the research going on in this sector is focussed on creating specific solutions. This narrow-minded approach is making the implementation of revenue optimisation in real life a tedious process. Demand is dynamic in nature and the market is having high volatility. Creating a revenue management model based on dynamic pricing which can stay reliable in multiple scenarios with fluctuating demand is the essence of this work. It also searches for simplistic models which show flexibility and efficiency with the help of market data. Initially the system will be fabricated based on a synthetic data relying on hotel management curves. Later on, the model will be moulded to be applicable to various industries involving booking functionalities.

show abstract

Integrated production distribution problem in a partial backorder and order refusal environment

Cited by 2 publications

References 0 publications

The beneficial effect of information sharing in the integrated production–distribution planning of textile and apparel supply chain

The beneficial effect of information sharing in the integrated production–distribution planning of textile and apparel supply chain

Revenue management using dynamic pricing strategies: modelling and simulation

Contact Info

Product

Resources

About