Konkurrenz zwischen stofflicher und energetischer Holznutzung – auch eine Frage der Allokation

2013 ◽  
Vol 164 (12) ◽  
pp. 382-388 ◽  
Author(s):  
Gero Becker ◽  
Martin Brunsmeier
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
International Competition ◽  
Raw Material ◽  
Decision Making Process ◽  
Economic Aspects ◽  
Energy Wood ◽  
Price Increases ◽  
Harvesting Techniques ◽  
Political Structures

Competition between material and energetic use of wood – also a question of allocation The amount of wood used for energy purposes has recently strongly increased in Germany. This has resulted in a competition for some wood assortments between raw material and energy uses. This has led to price increases and supply bottlenecks in wood industries facing international competition. An easing of this tension can be achieved by an increase in the volume of wood harvested, changes in the allocation of the assortments, alternative silvicultural concepts and optimized harvesting techniques. Moreover, an improvement in efficiency of the supply and conversion of energy wood increases the potential of wood. Whether wood is to be used for material or energy purposes is not only determined by economic aspects: the risks which have been taken into account, the investment which has been made, but also the obligation to deliver because of regional political structures can be decisive reasons for the allocation of wood. More research is needed to clarify the question of whether and in what way stakeholders within the supply chain influence the decision making process.

IT in Manufacturing and Logistics for SCM and OP in SMEs

2020 ◽  
pp. 109-117 ◽  
Author(s):  
Wei Hung ◽  
Yao-Wen Hsu
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Supply Chain ◽  
Statistical Analysis ◽  
Organizational Performance ◽  
Manufacturing Sector ◽  
Decision Making Process ◽  
Chain Management ◽  
Modern Age ◽  
Wide Range

This analysis focusses on the effects of Information Technology (IT) and how it significantly affects the Supply Chain Management (SCM) in logistics and manufacturing-Small and Medium-Sized Enterprises (SMEs). Apart from that, our purpose is to evaluate how IT affects the Organizational Performance (OP) in the enterprises. Irrespective of the fact that IT cannot be applied in every enterprise, the findings in this research are based on the statistical analysis which shows that a wide-range of workforce in the modern age has adopted the initiative considering the complexities of SCM and mostly to maximize OP in the enterprises. This research was done based on the analysis of SMEs in logistics and manufacturing sector in India. The sample used to conduct this research makes it valid to draw assumptions that managers and CEOs are responsible for coordinating enterprise operations in SMEs. The evaluation in this research shows that the workforce is obliged to formulate strategies to allow employees to enhance their competency of IT. In that regard, the findings are essential for the enhancement of the decision-making process, SCM and OP.

scholarly journals Capacity Allocation and Compensation in a Dual-Channel Supply Chain under Uncertain Environment

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Jiaquan Yang ◽  
Xumei Zhang ◽  
Yating Huang ◽  
Jiafu Su ◽  
Sang-Bing Tsai ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Expected Profit ◽  
Decision Making Process ◽  
Direct Selling ◽  
Channel Conflict ◽  
Dual Channel ◽  
Decentralized Decision Making ◽  
Capacity Uncertainty ◽  
Dual Channel Supply Chain

The dual-channel supply chain is widely adopted by main manufacturers, potentially incurring channel conflicts between the traditional retail channel which is owned by the independent retailer and the online channel which is directly managed by the manufacturer. The purpose of this paper is to deal with the scenario where channel conflicts may arise under production capacity uncertainty, when the manufacturer tends to privilege the direct selling channel over the retail selling channel. To achieve the goal, this paper establishes a Stackelberg game model consisting of a manufacturer and a retailer, studies the scenario where the manufacturer satisfies the direct selling channel first in the presence of capacity uncertainty, employs the decision optimization and the backward induction method to find the optimal inventory decision in the direct selling channel and the optimal order quantity decision making in the retail selling channel, and designs a compensation mechanism aiming to coordinate the channel conflict in the decentralized decision-making process. Results show that the optimal decisions aiming to maximize the expected profit of each supply chain member are not able to maximize the expected profit of entire dual-channel supply chain. However, when the manufacturer compensates the retailer’s profit loss based on the unsatisfied order and, in the meantime, adjusts the wholesale price to prevent the retailer which obtains the compensation from increasing order significantly, the compensation mechanism can coordinate the decision of each supply chain member, mitigate the channel conflict, maximize the expected profit of entire dual-channel supply chain, and achieve the Pareto improvement of supply chain members’ expected profit in the decentralized decision-making process.

scholarly journals Integrating IVHM and Asset Design

2020 ◽  
Vol 7 (2) ◽  
Author(s):  
Ian K Jennions ◽  
Octavian Niculita ◽  
Manuel Esperon-Miguez
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
System Design ◽  
Design Process ◽  
Systems Engineering ◽  
Health Management ◽  
Decision Making Process ◽  
Fully Integrated ◽  
Trade Offs ◽  
Causes Of Failure

Integrated Vehicle Health Management (IVHM) describes a set of capabilities that enable effective and efficient maintenance and operation of the target vehicle. It accounts for the collecting of data, conducting analysis, and supporting the decision-making process for sustainment and operation. The design of IVHM systems endeavours to account for all causes of failure in a disciplined, systems engineering, manner. With industry striving to reduce through-life cost, IVHM is a powerful tool to give forewarning of impending failure and hence control over the outcome. Benefits have been realised from this approach across a number of different sectors but, hindering our ability to realise further benefit from this maturing technology, is the fact that IVHM is still treated as added on to the design of the asset, rather than being a sub-system in its own right, fully integrated with the asset design. The elevation and integration of IVHM in this way will enable architectures to be chosen that accommodate health ready sub-systems from the supply chain and design trade-offs to be made, to name but two major benefits. Barriers to IVHM being integrated with the asset design are examined in this paper. The paper presents progress in overcoming them, and suggests potential solutions for those that remain. It addresses the IVHM system design from a systems engineering perspective and the integration with the asset design will be described within an industrial design process.

scholarly journals Decision-Making Process for Photovoltaic Solar Energy Sector Development using Fuzzy Cognitive Map Technique

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1427 ◽  
Author(s):  
Konstantinos Papageorgiou ◽  
Gustavo Carvalho ◽  
Elpiniki I. Papageorgiou ◽  
Dionysis Bochtis ◽  
George Stamoulis
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Solar Energy ◽  
Energy Sector ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Decision Making Process ◽  
Chain Management ◽  
Photovoltaic Solar Energy

Photovoltaic Solar Energy (PSE) sector has sparked great interest from governments over the last decade towards diminution of world’s dependency to fossil fuels, greenhouse gas emissions reduction and global warming mitigation. Photovoltaic solar energy also holds a significant role in the transition to sustainable energy systems. These systems and their optimal exploitation require an effective supply chain management system, such as design of the network, collection, storage, or transportation of this energy resource, without disregarding a country’s certain socio-economic and political conditions. In Brazil, the adoption of photovoltaic solar energy has been motivated not only by the energy matrix diversification but also from the shortages, problems, and barriers that the Brazilian energy sector has faced, lately. However, PSE development is affected by various factors with high uncertainty, such as political, social, economic, and environmental, that include critical operational sustainability issues. Thus, an elaborate modelling of energy management and a well-structured decision support process are needed to enhance the performance efficiency of Brazilian PSE supply chain management. This study focuses on the investigation of certain factors and their influence on the development of the Brazilian PSE with the help of Fuzzy Cognitive Maps. Fuzzy Cognitive Map is an established methodology for scenario analysis and management in diverse domains, inheriting the advancements of fuzzy logic and neural networks. In this context, a semi-quantitative model was designed with the help of various stakeholders from the specific energy domain and three plausible scenarios were conducted in order to support a decision-making process on PSE sector development and the country’s economic potential. The outcome of this analysis reveals that the development of the PSE sector in Brazil is mainly affected by economic and political factors.

A Mutual Subsidy Mechanism for a Seasonal Product Supply Chain Channel Under Double Price Regulation

2018 ◽  
Vol 35 (06) ◽  
pp. 1850047 ◽  
Author(s):  
Hongjun Peng ◽  
Tao Pang ◽  
Fuliang Cao ◽  
Juan Zhao
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Price Regulation ◽  
Coordination Mechanism ◽  
Raw Material ◽  
Price Cap Regulation ◽  
Numerical Example ◽  
Optimal Decisions ◽  
High Season ◽  
Theoretical Results

In this paper, we consider the decision-making and coordination mechanism of a seasonal product supply chain channel over a period consisting of a low season and a high season, where the price of the final product is strictly regulated, and the raw material is subject to a price cap regulation during the high season. The optimal decisions and profits under decentralized and centralized cases are derived for the low season and the high season. Our research indicates that, under the double price regulation, the manufacturer’s raw material order in the channel usually is not completely fulfilled during the high season and the order during the low season is usually small. Based on the results, we propose a mutual subsidy mechanism, in order to encourage the supplier to supply more raw material during the high season and to encourage the manufacturer to order more raw material during the low season.The theoretical results indicate that the mutual subsidy mechanism can effectively coordinate the seasonal product supply chain channel under the double price regulation, which is further verified by a numerical example. Moreover, the negotiation skills of the supplier and the manufacturer are also considered under the mutual subsidy mechanism, so that the spillover profit can be allocated on a win–win basis for both sides.

scholarly journals Perancangan Model Data Warehouse dan Perangkat Analitik untuk Memaksimalkan Proses Pemasaran Hotel: Studi Kasus pada Hotel Abc

2013 ◽  
Vol 4 (1) ◽  
pp. 230
Author(s):  
Eka Miranda
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Business Processes ◽  
Ad Hoc ◽  
Raw Material ◽  
Decision Making Process ◽  
Literature Study ◽  
Analysis Process ◽  
Marketing Area ◽  
New Perspective

The increasing competition in hotel business forces every hotel to be equiped with analysis tools that can maximize its marketing performance. This paper discusses the development of a data warehouse model and analytic tools to enhance the company's competitive advantage through the utilization of a variety of data, information and knowledge held by the company as a raw material in the decision making process. A study is done at ABC Hotel which uses a database to save the transactional record. However, the database cannot be directly used to support analysis and decision making process. Based on this issue, the company needs a data warehouse model and analytic tools that can be used to store large amounts of data and also potentially to gain a new perspective of data distribution which allows to provide reporting and answers of ad hoc users questions and assist managers in making decisions. Further data warehouse model and analytic tools can be used to help manager to formulate planning and marketing strategies. Data are collected through interviews and literature study, followed by data analysis to analyze business processes, to identify the problems and the information to support analysis process. Furthermore, data warehouse is designed using analysis of records related to the activities in hotel's marketing area and data warehouse model. The result of this paper is data warehouse model and analytic tools to analyze the external and transactional data and to support decision making process in marketing area.

scholarly journals Penentuan Kelayakan Jagung Biji Untuk Pakan Ternak Dengan Metode Fuzzy Saw

JURTEKSI ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 79-84
Author(s):  
Widiarti Rista Maya ◽  
Ahmad Fitri Boy
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Raw Materials ◽  
Raw Material ◽  
Decision Making Process ◽  
Weighting Method ◽  
Long Time ◽  
Simple Additive Weighting

Abstract: In the decision making process of the feasibility of corn raw materials so far only see the physical raw materials tend to be subjective so that in the decision making process of the feasibilityof corn raw materials must take a long time , sometimes the decision taken is not appropriate so that this needs to be addressed again for the feasibility of corn raw materials. From the description above need to be made an auxiliary program for decision support system by using fuzzy SAW ( Simple Additive Weighting ) method in determining corn raw material that is acceptable to PT. Charoen Phokpand Indonesia. Program which will be made more to assist manager or staff in taking decision and not replace it. The results of this study are expected to assist managers or staff in making decisions for the process of assessing the feasibility of corn raw materials in PT. Charoen Phokpand Indonesia so as to improve the quality of human resources. Keywords: corn raw materials, decision support system, fuzzy saw method Abstrak: Dalam proses pengambilan keputusan kelayakan bahan baku jagung selama ini hanya melihat fisik bahan baku yang cenderung subjektif sehingga dalam proses pengambilan keputusan kelayakan bahan baku jagung harus membutuhkan waktu yang cukup lama, terkadang keputusan yang diambil tidak tepat sehingga hal ini perlu dibenahi lagi untuk proses pengambilan keputusan kelayakan bahan baku jagung. Dari uraian diatas perlu dibuat suatu program bantu untuk sistem pendukung keputusan dengan menggunakan metode fuzzy SAW (Simple Additeve Weighting) dalam menentukan bahan baku jagung yang layak diterima pada PT. Charoen Phokpand Indonesia. Program yang akan dibuat lebih bersifat untuk membantu manager atau staff dalam pengambilan keputusan dan bukan menggantikannya. Hasil dari penelitian ini diharapkan dapat membantu manager atau staff dalam mengambil keputusan untuk proses penilaian kelayakan bahan baku jagung pada PT. Charoen Phokpand Indonesia sehingga dapat meningkatkan kualitas sumber daya manusia. Kata kunci: Bahan baku jagung, Sistem Pendukung Keputusan, metode fuzzy SAW

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