scholarly journals Optimal Logistics Control of an Omnichannel Supply Chain

2019 ◽  
Vol 11 (21) ◽  
pp. 6014
Author(s):  
Zhuang ◽  
Zhang ◽  
Wang ◽  
Hu
Keyword(s):  
Supply Chain ◽  
Linear Part ◽  
Image Features ◽  
Case Based Reasoning ◽  
Single Node ◽  
Nonlinear Part ◽  
Speeded Up Robust Features ◽  
Research Findings ◽  
Logistics Control ◽  
Weight Proportion

This paper aims to find the best way to control logistics in an omnichannel supply chain (OSC). For this purpose, two steps of work were carried out around case-based reasoning (CBR). In the first step, the combined feedback which proved stability was selected to control logistics in the single node, while the variational method and the virtual siphon were combined to determine the optimal control curve. There is a linear part and a nonlinear part in the combined feedback. The new method of storing data mode is “data turning to picture”. In the second step, image features were extracted by the hybrid method of SURF-GoogLeNet and used for case matching via the grey cloud method. SURF-GoogLeNet was firstly used to update the weight proportion of the defect points in the whole image via the speeded up robust features (SURF) method and secondly to self-extract features using the GoogLeNet method. Finally, the effectiveness of the proposed methods was verified through experiments. The research findings shed new light on the management of supply chains.

Forecasting of Summer Monsoon Rainfall over Gangetic West Bengal, India Utilising Intrinsic Mode Functions, Linear and Neural Regression

2020 ◽  
Vol 12 (1) ◽  
pp. 60-69 ◽  
Author(s):  
Pijush Basak
Keyword(s):  
Neural Network ◽  
West Bengal ◽  
Monsoon Rainfall ◽  
Linear Part ◽  
Intrinsic Mode Functions ◽  
Quasi Biennial Oscillation ◽  
Nonlinear Part ◽  
South West ◽  
South West Monsoon ◽  
West Monsoon

The South West Monsoon rainfall data of the meteorological subdivision number 6 of India enclosing Gangetic West Bengal is shown to be decomposable into eight empirical time series, namely Intrinsic Mode Functions. This leads one to identify the first empirical mode as a nonlinear part and the remaining modes as the linear part of the data. The nonlinear part is modeled with the technique Neural Network based Generalized Regression Neural Network model technique whereas the linear part is sensibly modeled through simple regression method. The different Intrinsic modes as verified are well connected with relevant atmospheric features, namely, El Nino, Quasi-biennial Oscillation, Sunspot cycle and others. It is observed that the proposed model explains around 75% of inter annual variability (IAV) of the rainfall series of Gangetic West Bengal. The model is efficient in statistical forecasting of South West Monsoon rainfall in the region as verified from independent part of the real data. The statistical forecasts of SWM rainfall for GWB for the years 2012 and 2013 are108.71 cm and 126.21 cm respectively, where as corresponding to the actual rainfall of 93.19 cm 115.20 cm respectively which are within one standard deviation of mean rainfall.

Applying the Theory of Constraints Principles to Tourism Supply Chain Management

2021 ◽  
pp. 109634802199679
Author(s):  
Xiaofeng Zhao ◽  
Jianrong Hou
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Systems Thinking ◽  
Supply Chain Coordination ◽  
Tourism Industry ◽  
Theory Of Constraints ◽  
Chain Management ◽  
Tourism Management ◽  
Research Findings ◽  
Tourism Supply Chain

Tourism supply chain management has become an important research topic as individual firms no longer compete as isolated entities but rather as supply chains in the tourism industry. Despite the evidence that benefits can be gained to improve profitability, competitiveness, and customer satisfaction, the research on how to manage the tourism supply chain is very limited. This research contributes to the literature by applying the theory of constraints (TOC) with systems thinking to tourism supply chain management. It proposes that the key issue in tourism supply chain management is the coordination of business activities and the TOC with systems thinking can effectively support tourism supply chain coordination of the various links and processes. The article examines the TOC performance measures and the drum–buffer–rope model in the context of tourism management and applies the focusing process of the TOC as a continuous improvement approach for tourism supply chain management. The research findings suggest that, given modifications to the TOC terminology and the principles, the TOC principles can work as an excellent approach to facilitate the tourism supply chain management.

An agent-based supplier selection framework

2015 ◽  
Vol 8 (2/3) ◽  
pp. 180-205 ◽  
Author(s):  
Alireza Jahani ◽  
Masrah Azrifah Azmi Murad ◽  
Md. Nasir bin Sulaiman ◽  
Mohd. Hasan Selamat
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Information Overload ◽  
Case Based Reasoning ◽  
Multi Agent Systems ◽  
Content Type ◽  
Agent Based ◽  
Common Framework ◽  
Multi Agent ◽  
Case Based

Purpose – The purpose of this paper is to propose an approach that integrates three complementary perspectives, multi-agent systems, fuzzy logic and case-based reasoning. Unsatisfied customers, information overload and high uncertainty are the main challenges that are faced by today’s supply chains. In addition, a few existing agent-based approaches are tied to real-world supply chain functions like supplier selection. These approaches are static and do not adequately take the qualitative and quantitative factors into consideration. Therefore, an agent-based framework is needed to address these issues. Design/methodology/approach – The proposed approach integrates three complementary perspectives, multi-agent systems, fuzzy logic and case-based reasoning, as a common framework. These perspectives were rarely used together as a common framework in previous studies. Furthermore, an exploratory case study in an office furniture company is undertaken to illustrate the value of the framework. Findings – The proposed agent-based framework evaluates supply offers based on customers’ preferences, recommends alternative products in the case of stock-out and provides a collaborative environment among agents who represent different supply chain entities. The proposed fuzzy case-based reasoning (F-CBR) approach reduces the information overload by organizing them into the relevant cases that causes less overall search between cases. In addition, its fuzzy aspect addresses the high uncertainty of supply chains, especially when there are different customers’ orders with different preferences. Research limitations/implications – The present study does not include the functions of inventory management and negotiation between agents. Furthermore, only the case description and case retrieval phases of the case-based reasoning approach are investigated, and the remaining phases like case retaining, case reusing and case revising are not included in the scope of this paper. Originality/value – This framework balances the interests of different supply chain structural elements where each of them is represented by a specific agent for better collaboration, decision-making and problem-solving in a multi-agent environment. In addition, the supplier selection and order gathering mechanisms are developed based on customers’ orders.

scholarly journals A Study of the Closed-Loop Supply Chain Coordination on Waste Glass Bottles Recycling

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Wenxue Ran ◽  
Fan Chen ◽  
Qianni Wu ◽  
Sen Liu
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Numerical Study ◽  
Supply And Demand ◽  
Waste Glass ◽  
Manufacturing Cost ◽  
Single Node ◽  
Closed Loop Supply Chain ◽  
Waste Products ◽  
Glass Bottles

The recycling of waste products can sharply save manufacturing cost and improve the economic efficiency and corporate-reputation. It also has a great effect on the environment and resources protection. In the management of the closed-loop supply chain, the recycling of waste products and decision-making on pricing often directly affect the supply and demand of products and the operation efficiency of supply chain. Therefore, first we take waste glass bottles as an example and establish a mathematical model to solve the profit of manufacturers and retailers solely. Then, we analyzed whole supply chain profit under a dual-channel recycling condition which is directly recycled by consumers or by retailers. Finally, we concluded that no matter what product’s price, quality, profit, or operational efficiency of supply chain is, the overall recycling is better than the single node recycling model. Based on the analysis, we developed a new model to coordinate the profit of manufacturers and retailers in the supply chain with revenue-sharing contract. A numerical study shows that this approach is applicable and effective.

A Game-Based Approach for Simulation and Design of Supply Chains

2020 ◽  
pp. 527-549
Author(s):  
Kamalendu Pal ◽  
Bill Karakostas
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Computer Game ◽  
Raw Material ◽  
Case Based Reasoning ◽  
Simulation Games ◽  
Current Case ◽  
Knowledge Based ◽  
Material Procurement ◽  
Game Simulation

This chapter reviews the potential benefits and challenges of knowledge-based computer game simulation as means of understanding the dynamics of global procurement and manufacturing supply chains. In particular the chapter focuses on the use of software agents to assist decision making across the supply chain, for example in raw material procurement. The chapter describes a framework for supply chain scenarios in multi-agent based simulation games. The agents' behaviour is governed by business rules, based on the concept of normative knowledge representation and its reasoning mechanism (known as rule-based reasoning, RBR) and that also come closer to the task that confronts the supply chain operational manager – the analysis of current case in hand in terms of previously decided business problem solutions, known as case-based reasoning (CBR). The aim is to introduce more realistic behavior of the supply chain actors and improve understanding in operational management of supply chains.

scholarly journals Analysis of Application of Cluster Descriptions in Space of Characteristic Image Features

Data ◽  
2018 ◽  
Vol 3 (4) ◽  
pp. 52 ◽  
Author(s):  
Oleksii Gorokhovatskyi ◽  
Volodymyr Gorokhovatskyi ◽  
Olena Peredrii
Keyword(s):  
Recognition Performance ◽  
Input Image ◽  
Image Features ◽  
Additional Time ◽  
Scale Invariant ◽  
Speeded Up Robust Features ◽  
Image Descriptors ◽  
Structural Image ◽  
Characteristic Features ◽  
Scale Invariant Feature

In this paper, we propose an investigation of the properties of structural image recognition methods in the cluster space of characteristic features. Recognition, which is based on key point descriptors like SIFT (Scale-invariant Feature Transform), SURF (Speeded Up Robust Features), ORB (Oriented FAST and Rotated BRIEF), etc., often relating to the search for corresponding descriptor values between an input image and all etalon images, which require many operations and time. Recognition of the previously quantized (clustered) sets of descriptor features is described. Clustering is performed across the complete set of etalon image descriptors and followed by screening, which allows for representation of each etalon image in vector form as a distribution of clusters. Due to such representations, the number of computation and comparison procedures, which are the core of the recognition process, might be reduced tens of times. Respectively, the preprocessing stage takes additional time for clustering. The implementation of the proposed approach was tested on the Leeds Butterfly dataset. The dependence of cluster amount on recognition performance and processing time was investigated. It was proven that recognition may be performed up to nine times faster with only a moderate decrease in quality recognition compared to searching for correspondences between all existing descriptors in etalon images and input one without quantization.

Hybrid Neural Network Models of Six-Axis Force Sensor

2012 ◽  
Vol 591-593 ◽  
pp. 1450-1456
Author(s):  
Sheng Lai Chen ◽  
Jian Zhong Hong
Keyword(s):  
Neural Network ◽  
Linear Part ◽  
Network Models ◽  
Mapping Function ◽  
Force Sensor ◽  
Measuring System ◽  
Data Simulation ◽  
Neural Network Models ◽  
Nonlinear Part ◽  
Force Signal

A method of analyzing the Six-axis force measuring system by hybrid modeling is introduced in this paper. The mapping function of signal voltage output, which is input vectors of the Neural Network (NN) model, and measuring force signal, which is output vectors of the NN model, is represented as two parts. The determined linear part obtains the main principle and the the information of transfer matrix. The undetermined nonlinear part are estimated by neural network. The problems about nonlinear error and coupling are solved. The accuracy and feasibility of the method are displayed by the result of experiment data simulation.

scholarly journals Surface Structure and Nanomechanical Properties of Shewanella putrefaciens Bacteria at Two pH values (4 and 10) Determined by Atomic Force Microscopy

2005 ◽  
Vol 187 (11) ◽  
pp. 3864-3868 ◽  
Author(s):  
Fabien Gaboriaud ◽  
Sidney Bailet ◽  
Etienne Dague ◽  
Frédéric Jorand
Keyword(s):  
Atomic Force Microscopy ◽  
A Priori ◽  
Linear Part ◽  
Shewanella Putrefaciens ◽  
Nonlinear Part ◽  
Force Microscopy ◽  
Nanomechanical Properties ◽  
Ph Values ◽  
Atomic Force ◽  
Force Curves

ABSTRACT The nanomechanical properties of gram-negative bacteria (Shewanella putrefaciens) were investigated in situ in aqueous solutions at two pH values, specifically, 4 and 10, by atomic force microscopy (AFM). For both pH values, the approach force curves exhibited subsequent nonlinear and linear regimens that were related to the progressive indentation of the AFM tip in the bacterial cell wall, including a priori polymeric fringe (nonlinear part), while the linear part was ascribed to compression of the plasma membrane. These results indicate the dynamic of surface ultrastructure in response to changes in pH, leading to variations in nanomechanical properties, such as the Young's modulus and the bacterial spring constant.

S-synchronization Structural Identifiability and Identification of Nonlinear Dynamic Systems

2020 ◽  
Vol 21 (6) ◽  
pp. 323-336
Author(s):  
N. N. Karabutov
Keyword(s):  
Nonlinear System ◽  
Dynamic Systems ◽  
Nonlinear Dynamic ◽  
Structural Parameters ◽  
Linear Part ◽  
Structural Identification ◽  
Nonlinear Dynamic Systems ◽  
Necessary Condition ◽  
Structural Identifiability ◽  
Nonlinear Part

An approach to the structural identifiability analysis of nonlinear dynamic systems under uncertainty is proposed. We have shown that S-synchronization is the necessary condition for the structural identifiability of a nonlinear system. Conditions are obtained for the design of a model which identifies the nonlinear part of the system. The method is proposed for the obtaining of a set which contains the information on the nonlinear part. A class of geometric frameworks which reflect the state of the system nonlinear part is introduced. Geometrical frameworks are defined on the synthesized set. The conditions are given for the structural indistinguishability of geometric frameworks on the set of S-synchronizing inputs. Local identifiability conditions are obtained for the nonlinear part. We are shown that a non-synchronizing input gives an insignificant geometric framework. This leads to a structural non-identifiability of the system nonlinear part. The method is proposed for the estimation of the structural identifiability the nonlinear part of the system. Conditions for parametric identifiability of the system linear part are obtained. We show that the structural identifiability is the basis for the structural identification of the system. The hierarchical immersion method is proposed for the estimation of nonlinear system structural parameters. The method is used for the structural identification of a system with Bouc-Wen hysteresis.

Sign in / Sign up

Export Citation Format

Share Document