{'fraction_non_alphanumeric': 0.014064697609001406, 'fraction_numerical': 0.0, 'mean_word_length': 5.414414414414415, '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}}
Combining Linear Programming and Heuristics to Solve a Transportation Problem for a Canning Company in Spain

This paper proposes an approach to solve logistics problems for a canning company situated in Navarra, Spain. Heuristic algorithms and linear programming routines are used, relying on the sweeping and Clarke-Wright algorithms for starting solutions that are improved by linear programming. Final outcomes focus on costs reduction and logistics decision-making support. The main contribution of this paper is the development of a mixed procedure combining exact and heuristic algorithms to solve routing problems. The model can be applied to other transportation problems in the agro-business industry.