Joint replenishment with imperfect items and price discount

Paul, Sanjoy Kumar; Wahab, M.I.M.; Ongkunaruk, Pornthipa

doi:10.1016/j.cie.2014.05.015

Cited by 41 publications

(12 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other researchers such as Sarkar [25], Ouyang and Chang [14] extend Salameh and Jaber [24]'s inventory model to consider payments. Recently, Paul et al [16] present a joint replenishment problem to determine the ordering policy for multiple items having a certain percentage of defective products with price discount.…”

Section: Introductionmentioning

confidence: 99%

Replenishment of imperfect items in an EOQ inventory model with partial backordering

2020

View full text Add to dashboard Cite

This paper deals with an inventory model in which a percent of the items in the lot is imperfect. The supplier is far from the buyer. After the reception of the order, immediately the products are inspected and imperfect items are identified. Due to the fact that supplier is located at long distance and the demand is needed to cover, the imperfect items are replenished by perfect ones from a local supplier at higher cost. In addition, the imperfect items are withdrawn and sold at a salvaged price as second-degree items. The shortage is allowed and partially backordered. The following three cases are considered: Case I. The reordered items are received when inventory level is zero; Case II. The reordered items are received when the backordered quantity is equal to the imperfect items quantity; and Case III. The reordered items are received when shortage is still remained. These cases are studied and analyzed in detail. In each case, the aim is to obtain the optimal value of the length period and the percent of period duration in which the inventory level is positive. A numerical example is presented to show the applicability of proposed inventory model. The results show that Case I has the lowest holding and shortage cost, so the total benefit is higher than the other two cases.Mathematics Subject Classification. 90B05, 90C30.

show abstract

Section: Introductionmentioning

confidence: 99%

Replenishment of imperfect items in an EOQ inventory model with partial backordering

2020

View full text Add to dashboard Cite

show abstract

“…Traditionally, two types of ordering cost, the major ordering cost related to ordering times and the minor ordering cost related to each item, in a two-layer supplying system, within which a buyer placing an order to a supplier for a number of different items, are assumed [ 4 ]. It is believed that a well planned joint replenishment policy can bring great savings for both buyers and suppliers [ 2 , 5 – 8 ]. Henceforth, the joint replenishment problem ( JRP ) has received extensive attention from both practitioners and researchers.…”

Section: Introductionmentioning

confidence: 99%

“…In the early stage of the JRP research, the benefits obtained by performing joint replenishment policy are solely assumed as the savings in ordering cost through group replenishing different items [ 1 , 4 , 11 ]. However, a performed joint replenishment policy with conventional JRP assumptions increases the inventory level and the system cost of the buyer for controlling inventory [ 2 ]. While in another aspect, in order to promote the buyer to purchase more items, the supplier usually provides the buyer discount offers to balance the buyers’ inventory level and the inventory carrying cost.…”

Section: Introductionmentioning

confidence: 99%

“…The presence of different discount schemes often complicates the item purchasing decisions [ 16 ] and sometimes looms the information risks [ 17 , 18 ]. Thus, in most studies, for ease of processing the discount settings, environments of a single item with multiple discount schemes [ 13 ] or multi-item with a single discount scheme [ 2 , 19 ] are the most welcomed and prevalent research assumptions. However, the research considering both joint replenishment of multi-item and multiple quantity discount scheme offers is rare.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A novel multi-item joint replenishment problem considering multiple type discounts

et al. 2018

View full text Add to dashboard Cite

In business replenishment, discount offers of multi-item may either provide different discount schedules with a single discount type, or provide schedules with multiple discount types. The paper investigates the joint effects of multiple discount schemes on the decisions of multi-item joint replenishment. In this paper, a joint replenishment problem (JRP) model, considering three discount (all-unit discount, incremental discount, total volume discount) offers simultaneously, is constructed to determine the basic cycle time and joint replenishment frequencies of multi-item. To solve the proposed problem, a heuristic algorithm is proposed to find the optimal solutions and the corresponding total cost of the JRP model. Numerical experiment is performed to test the algorithm and the computational results of JRPs under different discount combinations show different significance in the replenishment cost reduction.

show abstract

“…Skouri et al [17] developed an EOQ inventory model with imperfect products in the received lot and rejection of imperfect items to a supplier. In another work, Paul et al [18] presented a joint replenishment problem to determine the lot size for products with defective items. Hlioui et al [19] investigated a supply chain model with defective items with 100% screening.…”

Section: Introductionmentioning

confidence: 99%

Optimal Lot Size in a Manufacturing System with Imperfect Raw Materials and Defective Finished Products

Mokhtari

2018

Scientia Iranica

View full text Add to dashboard Cite

In real-world manufacturing systems, it is inevitable to encounter imperfect raw materials and generate defective nished products. In order to cope with these practical problems, this paper studies a manufacturer that orders raw materials from an external source (supplier) and, then, produces a nished product. The raw materials contain imperfect quality items; in addition, the production system is defective. The imperfect raw materials are sold after the screening process, while the defective nished products go under a further rework process. It is also assumed that the defective rate of a machine is a random variable, resulting in three possible cases regarding the occurrence of backordering shortage. The aim is to determine economic order/production lot sizes for each case in such a way that the total cost of the system is minimized. The optimal closed-form solution is derived for each case separately. Moreover, the applicability of the proposed manufacturing model is illustrated via a numerical example.

show abstract

Joint replenishment with imperfect items and price discount

Cited by 41 publications

References 26 publications

Replenishment of imperfect items in an EOQ inventory model with partial backordering

Replenishment of imperfect items in an EOQ inventory model with partial backordering

A novel multi-item joint replenishment problem considering multiple type discounts

Optimal Lot Size in a Manufacturing System with Imperfect Raw Materials and Defective Finished Products

Contact Info

Product

Resources

About