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    Wyświetlanie 1-4 z 4
    Tytuł:
    Inventory models and trade credit: a review
    Autorzy:
    Soni, H.
    Shah, N. H.
    Jaggi, C. K.
    Powiązania:
    https://bibliotekanauki.pl/articles/969900.pdf
    Data publikacji:
    2010
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    lot-size model
    trade credit
    deterioration
    probabilistic demand
    Opis:
    This article reviews the literature on quantitatively oriented approaches for determining the optimal lot-size when supplier offers credit period to the retailer to settle their account. An attempt is made to provide an up-to-date review of existing literature, concentrating on descriptions of the types of problems that have been solved and important structural results.
    Źródło:
    Control and Cybernetics; 2010, 39, 3; 867-882
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-period age-discriminated perishable inventory
    Autorzy:
    Alrawabdeh, Wasfi
    Powiązania:
    https://bibliotekanauki.pl/articles/1536976.pdf
    Data publikacji:
    2021
    Wydawca:
    STE GROUP
    Tematy:
    probabilistic inventory
    demand
    age discrimination
    newsvendor
    supply chain
    Opis:
    In this paper, an extremely short shelf-life inventory of age-discriminated stochastic demand is considered. Age discriminated demand can be found in products of high circulation and short shelf-lives such as dairy products, packaged food, pharmaceutical products and medical products of short shelf lives. Simulation based optimization is considered to find the optimal order quantity. The model employs Discrete Event Simulation along with a modified simulated annealing algorithm. To validate the model and the optimization algorithm, the classical newsvendor problem is tested first, later, different experiments are carried out for different product lifetimes. In contrast to the classical newsvendor, this problem tackles a multi-period inventory of different ages and different demand distributions. The objective is to determine the optimal order quantity to satisfy the stochastic demand of all ages such that shortages and expirations are minimized. The results showed remarkable performance and outstanding minimum levels of shortage and expiration.
    Źródło:
    Management Systems in Production Engineering; 2021, 2 (29); 97-105
    2299-0461
    Pojawia się w:
    Management Systems in Production Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Inventory model for deteriorating items with negative exponential demand, probabilistic deterioration and fuzzy lead time under partial back logging
    Autorzy:
    Sen, Nabendu
    Saha, Sumit
    Powiązania:
    https://bibliotekanauki.pl/articles/1181963.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    fuzzy lead time
    shortages
    partially backlogged
    exponentially declining demand
    probabilistic deterioration
    Opis:
    The effect of lead time plays an important role in inventory management. It is also important to study the optimal strategies when the lead time is not precisely known to the decision-makers. This paper aimed to examine the inventory model for deteriorating items with fuzzy lead time, negative exponential demand, and partially backlogged shortages. This model is unique in its nature due to probabilistic deterioration along with fuzzy lead time. The fuzzy lead time was assumed to be triangular, parabolic, trapezoidal numbers. The graded mean integration representation method was used for the defuzzification purpose. Three different types of probability distributions, namely uniform, triangular and beta were used for rate of deterioration to find optimal time and associated total inventory cost. The developed model was validated numerically, and values of optimal time and total inventory cost are given in a tabular form, corresponding to different probability distributions and fuzzy lead-time. The sensitivity analysis was performed on the variation of key parameters to observe its effect on the developed model.
    Źródło:
    Operations Research and Decisions; 2020, 30, 3; 97--112
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparing Probabilistic Economic Order Quantity and Periodic Order Quantity Model Performance Under Lumpy Demand Environment
    Autorzy:
    Nurprihatin, Filscha
    Rembulan, Glisina Dwinoor
    Pratama, Yohanes Dwi
    Powiązania:
    https://bibliotekanauki.pl/articles/2201156.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    lumpy demand
    material requirements planning
    probabilistic economic order quantity
    periodic order quantity
    aggregate plan
    Opis:
    Improper planning of inventory will affect the factory operating costs, building costs, the cost of loss, and the cost of product defects due to being stored for too long which will eventually become a loss. This research discusses the processing industry which is experiencing lumpy demand. In carrying out the production process, the company has never made plans for future demand, resulting in a waste of message costs due to repeated orders of raw materials ordered to suppliers. This paper contributes to overcoming this issue by simulating future demand by using the Material Requirement Planning (MRP) method with a probabilistic Economic Order Quantity (EOQ) and Periodic Order Quantity (POQ) model. The demand in the coming period is determined using the Autoregressive Integrated Moving Average (ARIMA) method, and an aggregate plan is carried out to determine the regular cost of raw material production and optimal subcontracting. The final analysis states that the calculation of MRP on the selected items using POQ produces the lowest cost for planning S45C-F, SGT-R, and SKD11-R, while SLD-R uses the probabilistic EOQ method.
    Źródło:
    Management and Production Engineering Review; 2022, 13, 4; 16--25
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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