A Fuzzy Order Promising Model With Non-Uniform Finished Goods

2017 ◽  
Vol 20 (1) ◽  
pp. 187-208 ◽  
Author(s):  
H. Grillo ◽  
M. M. E. Alemany ◽  
A. Ortiz ◽  
J. Mula
Keyword(s):  
Order Promising ◽  
Fuzzy Order

scholarly journals A Model for Demand Planning in Supply Chains with Congestion Effects

Logistics ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 3
Author(s):  
Uday Venkatadri ◽  
Shentao Wang ◽  
Ashok Srinivasan
Keyword(s):  
Supply Chains ◽  
Capacity Planning ◽  
Demand Management ◽  
Capacity Limitations ◽  
Demand Planning ◽  
Clearing Functions ◽  
Order Promising ◽  
Linear Aggregate ◽  
Inner Approximation ◽  
Congestion Effects

This paper is concerned with demand planning for internal supply chains consisting of workstations, production facilities, warehouses, and transportation links. We address the issue of how to help a supplier firmly accept orders and subsequently plan to fulfill demand. We first formulate a linear aggregate planning model for demand management that incorporates elements of order promising, recipe run constraints, and capacity limitations. Using several scenarios, we discuss the use of the model in demand planning and capacity planning to help a supplier firmly respond to requests for quotations. We extend the model to incorporate congestion effects at assembly and blending nodes using clearing functions; the resulting model is nonlinear. We develop and test two algorithms to solve the nonlinear model: one based on inner approximation and the other on outer approximation.

An approach for supplier selection problem based on picture cubic fuzzy aggregation operators

2021 ◽  
Vol 40 (5) ◽  
pp. 10145-10162
Author(s):  
Ahmad Bakr Khoshaim ◽  
Muhammad Qiyas ◽  
Saleem Abdullah ◽  
Muhammad Naeem ◽  
Muneeza
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Aggregation Operators ◽  
Weighted Averaging ◽  
Numerical Application ◽  
Chain Management ◽  
Fuzzy Environment ◽  
Picture Fuzzy Set ◽  
Fuzzy Aggregation ◽  
Fuzzy Order

This article is an advanced approach to picture fuzzy set through the application of cubic set theory. For instance, we establish the idea of the picture cubic fuzzy sets (PCFSs) theory and define several operations for PCFS. Also, presented some weighted aggregation operators under picture cubic fuzzy information, so called picture cubic fuzzy weighted averaging (PCFWA) operator, picture cubic fuzzy order weighted averaging (PCFOWA) operator, picture cubic fuzzy weighted geometric (PCFWG) operator, and picture cubic fuzzy order weighted geometric (PCFOWG) operator. Further, we study their fundamental properties and showed the relationship among these aggregation operators. In order to determine the feasibility and practicality of the mentioned new technique, we developed multi-attribute group decision -making algorithm with picture cubic fuzzy environment. Further, the developed method applied to supply chain management and for implementation, consider numerical application of supply chain management. Compared the developed approach with other preexisting aggregation operators, and we concluded that the defined technique is better, reliable and effective.

scholarly journals New Hermite–Hadamard-type inequalities for "Equation missing" No EquationSource Format="TEX", only image -convex fuzzy-interval-valued functions

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Muhammad Bilal Khan ◽  
Muhammad Aslam Noor ◽  
Khalida Inayat Noor ◽  
Yu-Ming Chu
Keyword(s):  
Order Relation ◽  
Interval Space ◽  
Fuzzy Order ◽  
Interval Valued ◽  
Fuzzy Interval

AbstractIn this paper, we introduce the non-convex interval-valued functions for fuzzy-interval-valued functions, which are called "Equation missing"-convex fuzzy-interval-valued functions, by means of fuzzy order relation. This fuzzy order relation is defined level-wise through Kulisch–Miranker order relation given on the interval space. By using the "Equation missing"-convexity concept, we present fuzzy-interval Hermite–Hadamard inequalities for fuzzy-interval-valued functions. Several exceptional cases are debated, which can be viewed as useful applications. Interesting examples that verify the applicability of the theory developed in this study are presented. The results of this paper can be considered as extensions of previously established results.

scholarly journals Analyzing The Concept Of Graded K-Preference Integration Representation Method

2021 ◽  
Vol 12 (5) ◽  
pp. 866-869
Author(s):  
Anant Tiwari, Dr. Amit Kumar Vats
Keyword(s):  
Integration Method ◽  
Decision Making Process ◽  
Linguistic Variables ◽  
Optimal Solutions ◽  
Order Quantity ◽  
Inventory Models ◽  
Fuzzy Environment ◽  
Representation Method ◽  
Fuzzy Order ◽  
Fuzzy Inventory

Generally, the fuzzy set concept could be used to deal with the problems with the qualities of ambiguity as well as vagueness. In the decision making process, the reference comparisons for criteria & options tend to be more appropriate to make use of the linguistic variables rather than crisp values in some instances. Meanwhile, the GMIR technique is utilized for the constrained trouble construction to derive the weights of options & criteria, which accomplishes the extension of fuzzy environment. Here in this paper we will study about some basic terms related to K-preference Graded Integration method. We will discuss the fuzzy inventory models under decision maker’s preference (k-preference), and find the optimal solutions of these models, the optimal crisp order quantity or the optimal fuzzy order quantity.

An Available-to-Promise System for Network-Manufacturing

2011 ◽  
Vol 268-270 ◽  
pp. 303-308 ◽  
Author(s):  
Wen Hao Wang ◽  
Qiong Zhu ◽  
Jie Zhang
Keyword(s):  
Production Planning ◽  
Planning Horizon ◽  
Global Environment ◽  
Quick Response ◽  
Key Factors ◽  
Planning And Scheduling ◽  
Production Planning And Scheduling ◽  
Analysis Experiment ◽  
Order Promising ◽  
The Impact

This Paper Presents Development of an Available-to-Promise (ATP) System for Network-Manufacturing in a Global Environment where Multi-Plants Are Manufacturing Products Collaboratively and Are Globally Networked. within the Multi-Plant Mode, the ATP Process Is Challenged to Give Not only Quick Response but Also Precise Order Promising by Considering the Coordination of Production Planning and Scheduling among Plants. in this Paper, an Order Decision and Production Planning Integrated ATP Model Was Developed and a Series of Performance Analysis Experiment Was Conducted to Reveal the Impact of some Key Factors such as Planning Horizon, Batch Interval Etc. on Overall Profit.

scholarly journals Generalizing the meaning of derivatives and integrals of any order differential equations by fuzzy-order derivatives and fuzzy-order integrals

2019 ◽  
Vol 31 (2) ◽  
pp. 240-245
Author(s):  
Asia Khalaf Albzeirat ◽  
Israr Ahmad ◽  
Muhammad Zaini Ahmad ◽  
Shaher Momani ◽  
Fathilah Mohammad Alipiah
Keyword(s):  
Differential Equations ◽  
Fuzzy Order

Fuzzy Electronic Supply Chain System

2011 ◽  
pp. 187-201
Author(s):  
Hamed Fazlollahtabar ◽  
Hamed Hajmohammadi ◽  
Iraj Mahdavi ◽  
Nezam Mahdavi-Amiri ◽  
Amir Mohajeri
Keyword(s):  
Supply Chain ◽  
Delivery System ◽  
Raw Materials ◽  
Electronic Market ◽  
Distribution Centers ◽  
Supply Chain System ◽  
Web Based ◽  
Chain System ◽  
Supply Chain Management System ◽  
Fuzzy Order

A supply chain is a network of suppliers, factories, warehouses, distribution centers and retailers, through which raw materials are acquired, transformed, produced and delivered to the customer. An effective and efficient way of managing this network is called a supply chain management system. The authors’ purpose here is to design a capable electronic supply chain system in an electronic market. The authors consider a supply chain composed of supplier, plant, and customer. The aim is to optimize a real time web-based fuzzy order-delivery system for which customer satisfaction is emphasized. As such, a comprehensive web-based order-delivery system in an electronic market is proposed and optimized applying fuzzy mathematical programming.

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