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\"\"<\/figure>\n\n\n\n

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1<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Decision support system for adaptive sourcing and inventory management in small and medium-sized enterprises<\/td><\/tr>
2<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>A simulation-optimization approach for adaptive manufacturing capacity planning in small and medium-sized enterprises<\/td><\/tr>
3<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Idea selection of new service for courier business: The opportunity of data analytics<\/td><\/tr>
4<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>The role of lean sustainable logistics in business operations<\/td><\/tr>
5<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Defining smes\u2019 4.0 readiness indicators<\/td><\/tr>
6<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Matching consignees\/shippers recommendation system in courier service using data analytics<\/td><\/tr>
7<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>The role of smart technology in sustainable agriculture: A case study of wangree plant factory<\/td><\/tr>
8<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>The impact of delay affecting airport efficiency: Sustainability perspective<\/td><\/tr>
9<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Evaluation of air cargo connectivity and policy in Thailand<\/td><\/tr>
10<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Trends and future directions in sustainable development<\/td><\/tr>
11<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Integrating sustainable development, lean, and logistics concepts into a lean sustainable logistics model<\/td><\/tr>
12<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Factors affecting green supply chain operational performance of the Thai auto parts industry<\/td><\/tr>
13<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Forecast of off-season longan supply using fuzzy support vector regression and fuzzy artificial neural network<\/td><\/tr>
14<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Confirmation and evaluation of performance measurement model for the Thai frozen shrimp chain<\/td><\/tr>
15<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Positive influence of green supply chain operations on Thai electronic firms’ financial performance<\/td><\/tr>
16<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Sustainability performance measurement framework for supply chain management<\/td><\/tr>
17<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Application of value chain management to longan industry<\/td><\/tr>
18<\/td>\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>Using Monte Carlo simulation to refine emergency logistics response models: A case study<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

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