scholarly journals Designing a disruption-aware supply chain network considering precautionary and contingency strategies: A real-life case study

2021 ◽  
Author(s):  
Mohammad Hossein Dehghani Sadrabadi ◽  
rouzbeh ghousi ◽  
Ahmad Makui
Keyword(s):  
Supply Chain ◽  
Real Life ◽  
Business Environment ◽  
Optimization Approach ◽  
Multiple Sourcing ◽  
Long Run ◽  
Lateral Transshipment ◽  
Inventory Holding ◽  
Constraint Method

Due to the high risk in the business environment, supply chains must adopt a tailored mechanism to deal with disruptions. This research proposes a multi-objective formulation to design a robust and resilient forward supply chain under multiple disruptions and uncertainty. The mentioned objective functions include minimizing the total cost, environmental impacts, and the network non-resiliency associated with the supply chain simultaneously countered using an augmented ε-constraint method. A Mulvey robust optimization approach is also utilized to deal with uncertainty. Ultimately, the developed model is validated based on three datasets associated with a case study of the steel industry. The results indicate that preventive and mitigation resilience strategies have significantly promoted the supply chain's capabilities to deal with disruptions. Controlling network resiliency via non-resiliency measures has also created a risk-aware and robust structure in the incidence of disturbances. Numerical results reveal that multiple sourcing, lateral transshipment, and fortification of facilities will lead to the greatest cost-efficiency in the case study. Observations also indicate that the fortified supply chain will be highly economically viable in the long run due to the reduction of costs resulting from lost sales, unnecessary inventory holding, and the company's credit risk.

Participation and spatial transformation in large housing estates in Poland. Case study of Ursynów Północny

2018 ◽  
Vol 60 (1) ◽  
pp. 55-65
Author(s):  
Krystyna Ilmurzyńska
Keyword(s):  
Basic Assumption ◽  
Real Life ◽  
Business Environment ◽  
Spatial Transformation ◽  
Reciprocal Relationships ◽  
Spatial Transformations ◽  
Large Housing Estates ◽  
Existing Housing ◽  
Housing Estates

Abstract This article investigates the suitability of traditional and participatory planning approaches in managing the process of spatial development of existing housing estates, based on the case study of Warsaw’s Ursynów Północny district. The basic assumption of the article is that due to lack of government schemes targeted at the restructuring of large housing estates, it is the business environment that drives spatial transformations and through that shapes the development of participation. Consequently the article focuses on the reciprocal relationships between spatial transformations and participatory practices. Analysis of Ursynów Północny against the background of other estates indicates that it presents more endangered qualities than issues to be tackled. Therefore the article focuses on the potential of the housing estate and good practices which can be tracked throughout its lifetime. The paper focuses furthermore on real-life processes, addressing the issue of privatisation, development pressure, formal planning procedures and participatory budgeting. In the conclusion it attempts to interpret the existing spatial structure of the estate as a potential framework for a participatory approach.

scholarly journals A case study of the residual-based cointegration procedure

2003 ◽  
Vol 7 (1) ◽  
pp. 29-48
Author(s):  
Riccardo Biondini ◽  
Yan-Xia Lin ◽  
Michael Mccrae
Keyword(s):  
Time Series ◽  
Financial Time Series ◽  
Real Life ◽  
Arima Models ◽  
Financial Time ◽  
Long Run ◽  
Data Generating Process ◽  
Finance Theory ◽  
The Relationship

The study of long-run equilibrium processes is a significant component of economic and finance theory. The Johansen technique for identifying the existence of such long-run stationary equilibrium conditions among financial time series allows the identification of all potential linearly independent cointegrating vectors within a given system of eligible financial time series. The practical application of the technique may be restricted, however, by the pre-condition that the underlying data generating process fits a finite-order vector autoregression (VAR) model with white noise. This paper studies an alternative method for determining cointegrating relationships without such a pre-condition. The method is simple to implement through commonly available statistical packages. This ‘residual-based cointegration’ (RBC) technique uses the relationship between cointegration and univariate Box-Jenkins ARIMA models to identify cointegrating vectors through the rank of the covariance matrix of the residual processes which result from the fitting of univariate ARIMA models. The RBC approach for identifying multivariate cointegrating vectors is explained and then demonstrated through simulated examples. The RBC and Johansen techniques are then both implemented using several real-life financial time series.

scholarly journals Social Networks and Supply Chain Management in Fish Trade

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402093181
Author(s):  
Carmen Pedroza-Gutiérrez ◽  
Juan M. Hernández
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Real Life ◽  
Primary Data ◽  
Structured Interviews ◽  
Knowledge Based ◽  
The Relationship

This study aims to construct a theoretical framework to analyze the elements of the network structure and the relationship system within the seafood supply chain. The scope of the investigation is to evaluate how these elements influence the flow of products and the efficiency of the seafood supply chain and why these social interactions can create value and enhance competitive advantage. The model combines the resource- and knowledge-based view and the social network analysis applied to seafood supply chains. To demonstrate the application of the model, two theoretical examples and a real case study of the Mercado del Mar in Guadalajara, Mexico, are used. Primary data are obtained from semi-structured interviews, social network analysis metrics, and qualitative analysis. Findings are based on the analysis of theoretical examples and must be considered with caution. Nevertheless, the observations in the examples and case study provide new arguments to the relationship between the pattern of interrelationship and the efficiency of a supply chain. This study emphasizes the necessity of combining quantitative and qualitative analyses to understand and explain real-life supply networks.

scholarly journals Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment

2021 ◽  
Author(s):  
Srikant Gupta ◽  
Ahteshamul Haq ◽  
Irfan Ali ◽  
Biswajit Sarkar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Real Life ◽  
Decision Makers ◽  
Supply Chain Network ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Hierarchical Decision

AbstractDetermining the methods for fulfilling the continuously increasing customer expectations and maintaining competitiveness in the market while limiting controllable expenses is challenging. Our study thus identifies inefficiencies in the supply chain network (SCN). The initial goal is to obtain the best allocation order for products from various sources with different destinations in an optimal manner. This study considers two types of decision-makers (DMs) operating at two separate groups of SCN, that is, a bi-level decision-making process. The first-level DM moves first and determines the amounts of the quantity transported to distributors, and the second-level DM then rationally chooses their amounts. First-level decision-makers (FLDMs) aimed at minimizing the total costs of transportation, while second-level decision-makers (SLDM) attempt to simultaneously minimize the total delivery time of the SCN and balance the allocation order between various sources and destinations. This investigation implements fuzzy goal programming (FGP) to solve the multi-objective of SCN in an intuitionistic fuzzy environment. The FGP concept was used to define the fuzzy goals, build linear and nonlinear membership functions, and achieve the compromise solution. A real-life case study was used to illustrate the proposed work. The obtained result shows the optimal quantities transported from the various sources to the various destinations that could enable managers to detect the optimum quantity of the product when hierarchical decision-making involving two levels. A case study then illustrates the application of the proposed work.

Analytical Hierarchy Process (AHP) for Selecting and Designing a Mini LNG Plant: A Case Study of Batam Indonesia

2013 ◽  
Author(s):  
Ketut Buda Artana ◽  
Dinariyana Dwi Putranta ◽  
Irfan Syarief Arief ◽  
I MadeAriana
Keyword(s):  
Supply Chain ◽  
Analytical Hierarchy Process ◽  
Clean Energy ◽  
Small Scale ◽  
Chain Model ◽  
Optimization Approach ◽  
Supply Chain Model ◽  
The Government ◽  
Hierarchy Process

Increase in demand for clean energy is one of the strategic issues in Indonesia nowadays, considering the significant economic growth of the country. A conventional LNG supply chain is not the best solution taking into consideration its high investment. The possibility of using a small scale LNG supply chain concept (Mini LNG) is recently sought by the government and private sectors in Indonesia. It is even more promising when we consider the amounts and number of stranded gas fields in the country. One of the main obstacles to the development plan is the geographical position of Indonesia as an archipelagic country. This paper presents a case study of LNG supply chain model of 10 mmscfd Gas Sales Agreement (GSA) in Batam and its design of LNG transportation model from Batam to Siantan-West Kalimantan [1]. The distance between Batam and Siantan is approximately 392 nautical miles. Two main objectives are covered in this paper. The first one is an implementation of the Analytical Hierarchy Process (AHP) to select the best location for mini LNG plant, and the second one is to design the LNG supply chain model based on optimization approach. The AHP model uses a pairwise comparison of 4 (four) qualitative attributes and 14 (fourteen) sub-attributes. 3 alternatives of location for mini LNG plant are evaluated, namely: Tanjung Uncang, Pemping Island and Janda Berhias Island. A sensitivity analysis by varying the weight of some critical attributes is also conducted to ensure that preferred location is sensitively selected with minimum error. The optimization of the LNG supply chain model is carried out by means of Gradually Reduced Gradient (GRG) methods. The Objective is to attain one design that will minimize investment (cost). Decision variables of the model are LNG plant capacity, storage tank capacity in loading and receiving terminal, vessel size, number of round trip, number of operating vessels, regasification capacity at the receiving terminal, and others.

scholarly journals Stability of the Supply Chain Using System Dynamics Simulation and the Accumulated Deviations from Equilibrium

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Luis Rabelo ◽  
Alfonso T. Sarmiento ◽  
Albert Jones
Keyword(s):  
Supply Chain ◽  
Dynamic Models ◽  
Complex Dynamics ◽  
Dynamics Simulation ◽  
Multidimensional Space ◽  
Optimization Approach ◽  
Controlling System ◽  
Manufacturing Supply Chain ◽  
Stochastic Properties

We propose and demonstrate a new methodology to stabilize systems with complex dynamics like the supply chain. This method is based on the accumulated deviations from equilibrium (ADE). It is most beneficial for controlling system dynamic models characterized by multiple types of delays, many interacting variables, and feedback processes. We employ the classical version of particle swarm optimization as the optimization approach due to its performance in multidimensional space, stochastic properties, and global reach. We demonstrate the effectiveness of our method based on ADE using a manufacturing-supply-chain case study.

scholarly journals CRITICAL ATTRIBUTES ON SUPPLY CHAIN STRATEGY IMPLEMENTATION: CASE STUDY IN EUROPE AND ASIA

2013 ◽  
Vol 4 (4) ◽  
pp. 66-75
Author(s):  
Ilkka Sillanpää ◽  
Nurul Aida binti Abdul Malek ◽  
Josu Takala
Keyword(s):  
Supply Chain ◽  
Critical Factor ◽  
Business Environment ◽  
Strategy Implementation ◽  
Future Research ◽  
Global Business ◽  
Supply Chain Strategy ◽  
Factor Index ◽  
The Right

Abstract This case study research aims to compare the performance of the implementation of supply chain management (SCM) strategies within Asian and European Companies. The case study measures company’s opinions of supply chain strategy implementation through utilization of Sense and Response methodology. Critical Factor Index (CFI), Balanced Critical Factor Index (BCFI) and Scaled Critical Factor Index (SCFI) are used in this study to represent the result of comparison between European and Asian companies. From the analysis of comparison of all Sense and Response models, it can be concluded that there are differences and similarities of critical attributes that affecting supply chain strategy implementation in Asian and European companies. There are two attributes that have consistent trend for both regions; innovation and organization structure. In this research the analysis of supply chain strategy implementation was made for the needs of manufacturing industry. Suggestions for future research are multiple case studies in different industry areas in global business environment. The results provide a guideline to the company to measure the right attributes for making the right decision in a dynamic environment. It also provides good knowledge for companies to implement supply chain strategies, the main approaches to implement it and the main challenges in supply chain strategy implementation. Supply chain strategy implementation was analyzed in the European and Asian companies. This research shows that there are several developing areas for companies when implementing supply chain strategies.

scholarly journals AN APPLICATION OF ANALYTIC NETWORK PROCESS TO EVALUATE SUPPLY CHAIN LOGISTICS STRATEGIES

2011 ◽  
Vol 3 (2) ◽  
Author(s):  
Arvind Jayant ◽  
Pardeep Gupta ◽  
Suresh Kumar Garg
Keyword(s):  
Supply Chain ◽  
Strategic Alliances ◽  
Real Life ◽  
Analytical Framework ◽  
Analytic Network Process ◽  
Business Environment ◽  
Strategic Decision ◽  
Analytical Technique ◽  
Supply Chain Logistics ◽  
Network Process

<p>The purpose of this work is to describe an application of the Analytic Network Process (ANP) method to model the influence of various factors on supply chain logistics strategic decision making in competitive business environment. Logistics plays an increasingly important strategic role for organizations that strive to keep pace with market changes and supply chain integration. Logistics and supply chain management are currently evolving due to external factors such as strategic alliances, technological changes, cycle time compression and an increasingly competitive environment. The present model is flexible enough to structure this complexity by evaluating logistics strategic strategies by utilizing a systemic multi-attribute analytical technique. This paper explores and illustrates an analytical framework in a real life environment to assess an organization’s logistics strategy and challenges with varying levels of success.</p><p>http://dx.doi.org/10.13033/ijahp.v3i2.76</p>

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