{'fraction_non_alphanumeric': 0.018774703557312252, 'fraction_numerical': 0.0, 'mean_word_length': 5.371069182389937, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Big Data Application in Supply Chain Management: Scopus Based Literature Review

For modern industry, supply chain optimization is becoming very critical. To win the competitive edge, companies should be able to optimize its supply chain. Customers are expecting quick order fulfillment and fast delivery in addition to options, styles and features of products. It is expected that companies who meets these expectations will be recording success stories. Big data plays a key role in several areas of supply chain management such as demand predictions, product development, supplying decisions, distribution, and customer feedback. The increasing amount of data exchange by supply chains in manufacturing and service sectors justify the use of big data in supply chain management. This paper outlines research activities review in the field of big data in supply chain management. In addition, it investigates applications of big data in supply chain management, its opportunities, challenges and future trends.