This study explores carbon emission issues over production manufacturing system with the context of joint inventory control and sustainable trade credit financing for deteriorating items in a supplier–retailer–customer model under volumetric fuzzy system. Here, supplier offers an upstream full to retailer turn, provides downstream partial her/his customers. Demand rate is assumed be functionally depends upon emissions, unit selling price length period offered by their customers explicitly....

This paper deals with an adaptation of application nonlinear heptagonal dense fuzzy number. The concept linear and as well non-linear for both symmetric asymmetric number is introduced here. We develop a new ranking method also. Considering backorder inventory model demand rate we have utilized modified centroid defuzzification. For decision maker’s aspects, numerical examples, comparative study other numbers sensitivity analysis show the superiority Finally, graphical illustrations are made...

The present article was developed for the economic order quantity (EOQ) inventory model under daytime, non-random, uncertain demand. In any management problem, several parameters are involved that basically flexible in nature with progress of time. This can be split into three different sub-models, assuming demand rate and cost vector associated non-randomly (i.e., fuzzy), these may include some retained learning experiences decision-maker (DM). However, DM has option revising his/her...

This article presents a three-echelon supply chain (SC) model, incorporating single supplier, manufacturer, and wholesaler under fuzzy system. Three scenarios have been considered: (a) the learning effect (LE) of employees on production cost as well return contract (RC) between supplier an outside also manufacturer wholesaler, (b) without considering LE manufacturing expenses (c) RC SC players. The goal this paper is to study total profit for centralised decentralised cases. To adopt...

In this article, the parabolic dense fuzzy set is defined, and its basic arithmetic operations are studied with graphical illustration. The lock concept incorporated in a set. Then, it applied to problems of fishery culture via modeling an economic order quantity model. Here, fingerlings fed reach ideal size fulfill customer’s demand. growth rate assumed as linear function. After sales all fish, pond cleaned properly for new cycle. model solved crisp sense first. we fuzzify considering...

<p>In this article we develop an economic order quantity (EOQ) model with backlogging where the decision is made jointly from two maker supposed to view one of them as industrialist (developer) and other responsible manager. The problem handled under dense fuzzy environment. In set theory concept quite new which depending upon number negotiations/ turnover by industrial developers supplier raw materials and/or customers. Moreover, have discussed preliminary on sets their corresponding...

This article deals with an economic order quantity inventory model of imperfect items under non-random uncertain demand. Here we consider the customers screen during selling period. After a certain period time, are sold at discounted price. We split into three cases, assuming that demand rate increases, decreases, and is constant in discount Firstly, solve crisp model, then converted fuzzy environment. dense fuzzy, parabolic degree fuzziness cloudy for comparative study. The basic novelty...

In this study, an economic production quantity (EPQ) model with deterioration is developed where the rate stock dependent and demand unit selling price dependent. The low more stocks correspond high but corresponds to slow because of avoidance unnecessary stocks. First all, we develop by solving some ordinary differential equations having deterministic profit function under specific assumptions. Later, fuzzy using Generalized Hukuhara derivative. fact, equation has been split into two parts...

In this paper, we define two new type of operators fuzzy matrices denoted by the symbol ⊕ and . ⊗ Using these r ow-max- average norm, column-max-average norm. Here instead addition use operator multiplication We also Pseudo norm max-min