Scatter search algorithm for supplier selection and order lot sizing under multiple price discount environment

Ebrahim, R. Mohammad; Razmi, Jafar; Haleh, Hassan

doi:10.1016/j.advengsoft.2009.02.003

Cited by 94 publications

(39 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ANN based algorithms are claimed to be helpful for practical industrial applications especially for dynamic situations. In many realistic applications, organizations have utilized their own methods as illustrated in [2] and [10]. The experience of the management staff is often seen to generate acceptable results in decision making process by using rules of thumb and are not reported in literature.…”

Section: Literature Surveymentioning

confidence: 99%

Analytic Hierarchy Process (AHP) for a Power Transmission Industry to Vendor Selection Decisions

Kumar¹,

Roy²

2011

IJCA

View full text Add to dashboard Cite

This work attempts to develop a rule based model, to evaluate the performance of vendors, supplying components and raw materials to a multinational organization engaged in designing, manufacturing and delivering a range of products covering various stages of electric power transmission and distribution system. The analytic hierarchy process (AHP) based model, described in this work, is utilized to study the requirements of customers to select suitable vendors validate the model for ordering required components and materials for customers.

show abstract

Section: Literature Surveymentioning

confidence: 99%

Analytic Hierarchy Process (AHP) for a Power Transmission Industry to Vendor Selection Decisions

Kumar¹,

Roy²

2011

IJCA

View full text Add to dashboard Cite

show abstract

“…All neurons are organized into layers; the sequence of layers defines the order in which the activations are computed. In many realistic applications, organizations have utilized their own methods as illustrated in [2] and [15]. The experience of the management staff is often seen to generate acceptable results in decision making process by using rules of thumb and is not reported in literature.…”

Section: Literature Surveymentioning

confidence: 99%

A Hybrid Method for Vendor Selection using Neural Network

Kumar¹,

Roy²

2010

IJCA

View full text Add to dashboard Cite

Problem of vendor evaluation and selection has always been viewed as the most important responsibility of purchasing department and for such reason, received a great deal of attention from practitioners and researchers. This solution has always been a complex process as various criteria, known and half known are involved in making a decision. This work attempts to develop a rule based model, to evaluate the performance of vendors, supplying components and raw materials to a multinational organization engaged in designing, manufacturing and delivering a range of products covering various stages of electric power transmission and distribution system. To select the vendors, there is a need to rank all the potential vendors according to a performance measure because in this industry almost all items are outsourced from vendors and input material cost constitute almost 80% cost of the product. For such reason any organization is required to select suitable vendors who can supply input materials and components to the organization as per the need timely with right specification and requisite quantity. This paper presents a hybrid model using analytic hierarchy process (AHP) and neural networks (NNs) theory to assess vendor performance. The model consists of two modules: Module 1 applies AHP using pair wise comparison of criteria for all vendors, In the process the importance of the criteria is also obtained using an iterative algorithm. Module 2 utilizes the results of AHP into NNs model for vendor selection. The results yield the best vendor and appropriate score to compare the performance of each vendor. Selection of alternative vendors also can be carried out by using the historical data. Validation of the entire developed algorithm has been carried out separately.

show abstract

“…However, it is obvious that in practical situations, buyers face with multiple-sourcing in which suppliers may o er di erent price discount schemes [15]. Thus, in this paper, to capture a more practical situation, we extend the model to consider both types of quantity discount at the same time: all-unit discount and incremental discount.…”

Section: Introductionmentioning

confidence: 99%

Model and optimization of the multi-objective single-buyer multi-vendor integrated inventory problem with multiple quantity discounts

2017

View full text Add to dashboard Cite

Abstract. This paper deals with a multi-objective integrated inventory model to coordinate a two-stage supply chain including a single buyer and multiple vendors. The earlier work on the problem is limited to considering only one type of discount. This paper extends the problem under the multiple quantity discount environment. We try to minimize the system cost, number of defective items, number of late delivered items and maximize the total purchasing value. Numerical examples are presented to provide some insights into the proposed model and di erent discount schemes. Results obtained from sensitivity analysis show that changes in unit prices have a relatively large e ect on the objective function; as the upper bounds of discount intervals are reduced, the value of objective function decreases. It is also seen that the order quantity from the suppliers increases as the number of suppliers o ering all unit quantity discounts increases. In addition, we use a solution approach that is not used by previous studies on this problem, and the obtained results show that the DE algorithm, proposed in this study, outperforms the PSO proposed by Kamali et al. [1] in both solution quality and computational time.

show abstract

Scatter search algorithm for supplier selection and order lot sizing under multiple price discount environment

Cited by 94 publications

References 22 publications

Analytic Hierarchy Process (AHP) for a Power Transmission Industry to Vendor Selection Decisions

Analytic Hierarchy Process (AHP) for a Power Transmission Industry to Vendor Selection Decisions

A Hybrid Method for Vendor Selection using Neural Network

Model and optimization of the multi-objective single-buyer multi-vendor integrated inventory problem with multiple quantity discounts

Contact Info

Product

Resources

About