Skip to main content
SpringerLink
Log in

The Impact of Carbon Tax Policy in a Multi-Objective Green Solid Logistics Modelling Under Sustainable Development

  • Chapter
  • First Online:
Computational Modelling in Industry 4.0

Abstract

In the last few decades, worldwide atmosphere change has become out to be one of the most significant environmental issues. Carbon emissions and air pollution have motivated a need to design an effective and sustainable logistics network. As a result, environmental policies are included in the transportation system to re-consider and re-structure a greenway distribution network. This chapter addresses a multi-objective optimization problem to design a solid logistics modelling in a green framework. The objectives of the stated problem are as follows: (a) to minimize the total financial costs along with carbon emissions cost, (b) to maximize the customers’ satisfaction level simultaneously, and (c) to maximize the sustainable effectiveness conveyances. A multi-objective optimization procedure, namely, global criterion method is introduced to extract a non-dominated solution to the proposed problem. Two numerical examples test the formulated model and solution procedure. A comparative study among the proposed procedure and the other existing relevant procedures is also presented. Concluding remarks are discussed at last.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Angelov PP (1997) Optimization in an intuitionistic fuzzy environment. Fuzzy Sets Syst 86(3):299–306

    Article  MathSciNet  Google Scholar 

  • Benjaafar S, Li Y, Daskin M (2012) Carbon footprint and the management of supply chains: Insights from simple models. IEEE Trans Autom Sci Eng 10(1):99–116

    Article  Google Scholar 

  • Biswas A, Shaikh AA, Niaki STA (2019) Multi-objective non-linear fixed charge transportation problem with multiple modes of transportation in crisp and interval environments. Appl Soft Comput 80:628–649

    Article  Google Scholar 

  • Chen L, Peng J, Zhang B (2017) Uncertain goal programming models for bicriteria solid transportation problem. Appl Soft Comput 51:49–59

    Article  Google Scholar 

  • Chen X, Benjaafar S, Elomri A (2013) The carbon-constrained EOQ. Oper Res Lett 41(2):172–179

    Article  MathSciNet  Google Scholar 

  • Chen X, Wang X (2016) Effects of carbon emission reduction policies on transportation mode selections with stochastic demand. Transp Res Part E: Logist Transp Rev 90:196–205

    Article  Google Scholar 

  • Das SK, Roy SK (2019) Effect of variable carbon emission in a multi-objective transportation-p-facility location problem under neutrosophic environment. Comput Ind Eng 132:311–324

    Google Scholar 

  • Das SK, Roy SK, Weber G-W (2020a) Heuristic approaches for solid transportation-p-facility location problem. CEJOR 28:939–961

    Google Scholar 

  • Das SK, Roy SK, Weber GW (2020b) An exact and a heuristic approach for the transportation–facility location problem. Comput Manag Sci 17:389–407

    Google Scholar 

  • Das SK, Roy SK, Weber G-W (2020c) Application of type-2 fuzzy logic to a multi-objective green solid transportation-location problem with dwell time under carbon tax, cap and offset policy: fuzzy vs. non-fuzzy techniques. IEEE Trans Fuzzy Syst 28(11):2711–2725

    Google Scholar 

  • Das SK, Pervin M, Roy SK, Weber G-W (2021) Multi-objective solid transportation-location problem with variable carbon emission in inventory management: a hybrid approach. Ann Oper Res. https://doi.org/10.1007/s10479-020-03809-z

  • Elhedhli S, Merrick R (2012) Green supply chain network design to reduce carbon emissions. Transp Res Part D: Transp Environ 17(5):370–379

    Article  Google Scholar 

  • Goli A, Tirkolaee EB, Malmir B, Bian G-B, Sangaiah AK (2019) A multi-objective invasive weed optimization algorithm for robust aggregate production planning under uncertain seasonal demand. Computing 101(6):499–529

    Article  MathSciNet  Google Scholar 

  • Gupta P, Mehlawat MK, Aggarwal U, Charles V (2018) An integrated ahp-dea multi-objective optimization model for sustainable transportation in mining industry. Resour Policy. https://doi.org/10.1016/j.resourpol.2018.04.007

    Article  Google Scholar 

  • Haley K (1962) New methods in mathematical programming—the solid transportation problem. Oper Res 10(4):448–463

    Article  Google Scholar 

  • Inuiguchi M, Ichihashi H, Tanaka H (1990) Fuzzy programming: a survey of recent developments. In: Stochastic versus fuzzy approaches to multiobjective mathematical programming under uncertainty. Springer, pp 45–68

    Google Scholar 

  • Jiménez F, Verdegay JL (1998) Uncertain solid transportation problems. Fuzzy Sets Syst 100(1–3):45–57

    Article  MathSciNet  Google Scholar 

  • Jiménez F, Verdegay JL (1999) Solving fuzzy solid transportation problems by an evolutionary algorithm based parametric approach. Eur J Oper Res 117(3):485–510

    Article  Google Scholar 

  • Khalilpourazari S, Mirzazadeh A, Weber G-W, Pasandideh SHR (2019) A robust fuzzy approach for constrained multi-product economic production quantity with imperfect items and rework process. Optimization 69(1):63–90

    Article  MathSciNet  Google Scholar 

  • Konur D, Schaefer B (2014) Integrated inventory control and transportation decisions under carbon emissions regulations: LTL vs. Tl carriers. Transp Res Part E: Logist Transp Rev 68:14–38

    Article  Google Scholar 

  • Lélé SM (1991) Sustainable development: a critical review. World Dev 19(6):607–621

    Article  Google Scholar 

  • Li L, Lai KK (2000) A fuzzy approach to the multiobjective transportation problem. Comput Oper Res 27(1):43–57

    Article  MathSciNet  Google Scholar 

  • Litman T, Burwell D (2006) Issues in sustainable transportation. Int J Glob Environ Issues 6(4):331–347

    Article  Google Scholar 

  • Liu P, Yang L, Wang L, Li S (2014) A solid transportation problem with type-2 fuzzy variables. Appl Soft Comput 24:543–558

    Article  Google Scholar 

  • Mahapatra DR, Roy SK, Biswal MP (2013) Multi-choice stochastic transportation problem involving extreme value distribution. Appl Math Model 37(4):2230–2240

    Article  MathSciNet  Google Scholar 

  • Maity G, Mardanya D, Roy SK, Weber G-W (2019a) A new approach for solving dual-hesitant fuzzy transportation problem with restrictions. Sādhanā 44(4):75. https://doi.org/10.1007/s12046-018-1045-1

  • Maity G, Roy SK, Verdegay JL (2019b) Time variant multi-objective interval-valued transportation problem in sustainable development. Sustainability 11(21):6161. https://doi.org/10.3390/su11216161

  • Mehlawat MK, Kannan D, Gupta P, Aggarwal U (2019) Sustainable transportation planning for a three-stage fixed charge multi-objective transportation problem. Ann Oper Res 1–37. https://doi.org/10.1007/s10479-019-03451-4

  • Molla-Alizadeh-Zavardehi S, Nezhad SS, Tavakkoli-Moghaddam R, Yazdani M (2013) Solving a fuzzy fixed charge solid transportation problem by metaheuristics. Math Comput Model 57(5–6):1543–1558

    Article  MathSciNet  Google Scholar 

  • Nomani MA, Ali I, Ahmed A (2017a) A new approach for solving multi-objective transportation problems. Int J Manag Sci Eng Manag 12(3):165–173

    Google Scholar 

  • Nomani MA, Ali I, Fügenschuh A, Ahmed A (2017b) A fuzzy goal programming approach to analyse sustainable development goals of india. Appl Econ Lett 24(7):443–447

    Google Scholar 

  • Paksoy T, Özceylan E, Weber G-W (2013) Profit oriented supply chain network optimization. CEJOR 21(2):455–478

    Article  MathSciNet  Google Scholar 

  • Paksoy T, Pehlivan NY, Özceylan E (2012) Fuzzy multi-objective optimization of a green supply chain network with risk management that includes environmental hazards. Hum Ecol Risk Assess Int J 18(5):1120–1151

    Article  Google Scholar 

  • Poterba JM (1991) Tax policy to combat global warming: on designing a carbon tax. Technical report, National Bureau of Economic Research

    Google Scholar 

  • Roy SK, Bhaumik A (2018) Intelligent water management: a triangular type-2 intuitionistic fuzzy matrix games approach. Water Resour Manag 32(3):949–968

    Article  Google Scholar 

  • Roy SK, Ebrahimnejad A, Verdegay JL, Das S (2018a) New approach for solving intuitionistic fuzzy multi-objective transportation problem. Sādhanā 43(1):3. https://doi.org/10.1007/s12046-017-0777-7

  • Roy SK, Midya S, Vincent FY (2018b) Multi-objective fixed-charge transportation problem with random rough variables. Int J Uncertain Fuzz Knowl Based Syst 26(6):971–996

    Google Scholar 

  • Roy SK, Maiti SK (2020) Reduction methods of type-2 fuzzy variables and their applications to stackelberg game. Appl Intell 50:1398–1415. https://doi.org/10.1007/s10489-019-01578-2

  • Roy SK, Maity G (2017) Minimizing cost and time through single objective function in multi-choice interval valued transportation problem. J Intell Fuzzy Syst 32(3):1697–1709

    Google Scholar 

  • Roy SK, Maity G, Weber G-W (2017a) Multi-objective two-stage grey transportation problem using utility function with goals. Cent Eur J Oper Res 25(2):417–439

    Google Scholar 

  • Roy SK, Maity G, Weber GW, Gök SZA (2017b) Conic scalarization approach to solve multi-choice multi-objective transportation problem with interval goal. Ann Oper Res 253(1):599–620

    Google Scholar 

  • Roy SK, Midya S (2019) Multi-objective fixed-charge solid transportation problem with product blending under intuitionistic fuzzy environment. Appl Intell 49(10):3524–3538

    Google Scholar 

  • Roy SK, Midya S, Webe G-W (2019) Multi-objective multi-item fixed-charge solid transportation problem under twofold uncertainty. Neural Comput Appl 31(12):8593–8613

    Google Scholar 

  • Shell E (1955) Distribution of a product by several properties, directorate of management analysis. In: Proceedings of the second symposium in linear programming, vol 2, pp 615–642

    Google Scholar 

  • Shih C, Chang C (1995) Pareto optimization of alternative global criterion method for fuzzy structural design. Comput Struct 54(3):455–460

    Article  Google Scholar 

  • Tao Z, Xu J (2012) A class of rough multiple objective programming and its application to solid transportation problem. Inf Sci 188:215–235

    Article  MathSciNet  Google Scholar 

  • Tirkolaee EB, Mardani A, Dashtian Z, Soltani M, Weber G-W (2020) A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design. J Clean Prod 250:119517

    Google Scholar 

  • Turken N, Carrillo J, Verter V (2017) Facility location and capacity acquisition under carbon tax and emissions limits: to centralize or to decentralize? Int J Prod Econ 187:126–141

    Article  Google Scholar 

  • Zhou S, Shi M, Li N, Yuan Y (2011) Impacts of carbon tax policy on CO2 mitigation and economic growth in china. Adv Clim Chang Res 2(3):124–133

    Article  Google Scholar 

  • Zimmermann H-J (1978) Fuzzy programming and linear programming with several objective functions. Fuzzy Sets Syst 1(1):45–55

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore, West Bengal, 721102, India

    Soumen Kumar Das & Sankar Kumar Roy

  2. Faculty of Engineering Management, Chair of Marketing and Economic Engineering, Poznan University of Technology, Poznan, Poland

    Gerhard-Wilhelm Weber

Authors
  1. Soumen Kumar Das
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sankar Kumar Roy
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gerhard-Wilhelm Weber
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, India

    Irfan Ali

  2. Department of Mechanical Engineering, MCKV Institute of Engineering, West Bengal, India

    Prasenjit Chatterjee

  3. Department of Mathematics, University of Burdwan, West Bengal, India

    Ali Akbar Shaikh

  4. Amity School of Business, Amity University, Noida, India

    Neha Gupta

  5. Industrial Engineering Department, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia

    Ali AlArjani

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Das, S.K., Roy, S.K., Weber, GW. (2022). The Impact of Carbon Tax Policy in a Multi-Objective Green Solid Logistics Modelling Under Sustainable Development. In: Ali, I., Chatterjee, P., Shaikh, A.A., Gupta, N., AlArjani, A. (eds) Computational Modelling in Industry 4.0. Springer, Singapore. https://doi.org/10.1007/978-981-16-7723-6_5

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-7723-6_5

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-7722-9

  • Online ISBN: 978-981-16-7723-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation