A System Dynamics Approach to Comparative Analysis of Biomass Supply Chain Coordination Strategies

被引:10
作者
Khoddami, Shohre [1 ]
Mafakheri, Fereshteh [1 ]
Zeng, Yong [1 ]
机构
[1] Concordia Univ, Concordia Inst Informat Syst Engn CIISE, Montreal, PQ H3G 1M8, Canada
基金
加拿大自然科学与工程研究理事会; 加拿大魁北克医学研究基金会;
关键词
bioenergy; biomass; supply chain coordination; communities; quantity discounts; cost sharing; system dynamics; simulation; optimization; GAME-THEORETIC ANALYSIS; OPTIMIZATION; ENERGY; INTEGRATION; CONTRACT; NETWORK;
D O I
10.3390/en14102808
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Biomass is an abundant energy source, particularly in Canada, as an alternative or primary source for electricity generation. However, low economy of scale could cause a loss of efficiency for bioenergy adoption in small remote communities. In this sense, coordination among the players could promote the efficiency and profitability of bioenergy supply chains for these communities. There are different coordination strategies with varying impacts on supply chain players' profit or cost. Therefore, analyzing and comparing them could provide insights on how to decide about the choice of coordination strategy. In doing so, this study considers the coordination strategies of quantity discounts and cost-sharing. The study adopts a system dynamics approach for simulating these coordination scenarios, obtaining their corresponding optimal supply chain decisions, followed by a comparative analysis. For a case study, the study considers multiple suppliers providing biomass for electricity generation in three communities in northern Quebec.
引用
收藏
页数:35
相关论文
共 44 条
[1]   Application of system dynamics approach in electricity sector modelling: A review [J].
Ahmad, Salman ;
Tahar, Razman Mat ;
Muhammad-Sukki, Firdaus ;
Munir, Abu Bakar ;
Rahim, Ruzairi Abdul .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 56 :29-37
[2]   W Integrated strategic and tactical optimization of forest-based biomass supply chains to consider medium-term supply and demand variations [J].
Akhtari, Shaghaygh ;
Sowlati, Taraneh ;
Griess, Verena C. .
APPLIED ENERGY, 2018, 213 :626-638
[3]  
Angerhofer BJ, 2000, PROCEEDINGS OF THE 2000 WINTER SIMULATION CONFERENCE, VOLS 1 AND 2, P342, DOI 10.1109/WSC.2000.899737
[4]  
[Anonymous], 2016, Science Engineering Indicators 2016, P1
[5]  
[Anonymous], CLEAN EN RUR REM COM
[6]   Biodiesel supply chain optimization via a hybrid system dynamics-mathematical programming approach [J].
Azadeh, Ali ;
Arani, Hamed Vafa .
RENEWABLE ENERGY, 2016, 93 :383-403
[7]   Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective [J].
Ba, Birome Holo ;
Prins, Christian ;
Prodhon, Caroline .
RENEWABLE ENERGY, 2016, 87 :977-989
[8]  
Bala B., 2017, International Journal of Systems Science: Operations Logistics, V4, P181, DOI [https://doi.org/10.1080/23302674.2016.1179813, DOI 10.1080/23302674.2016.1179813]
[9]  
Bala BK, 2017, SPRING TEXT BUS ECON, P1, DOI 10.1007/978-981-10-2045-2
[10]  
Balaman SY, 2019, DECISION-MAKING FOR BIOMASS-BASED PRODUCTION CHAINS: THE BASIC CONCEPTS AND METHODOLOGIES, P55, DOI 10.1016/B978-0-12-814278-3.00003-0