This paper aimed to investigate the relationships between seven deadly wastes (i.e. overproducing; process; inventory; transporting; defects; waiting and motion waste) of lean manufacturing in textile industry. Waste Relationship Matrix (WRM) is used to investigate the wastes relationships. The percentages of wastes relationships are calculated to represent the probability that a certain type of waste will affect others or be affected by others. The bar graphs and pie charts presented the pictorial view of WRM score. The rankings of wastes either affecting or be affected are done.  Defect (21%), waiting (15%), overproduction (14%), motion (13%), transportation (13%), process (12%) and inventory (11%) wastes are ranked as 1st, 2nd, 3rd, 4th, 4th and 5th affecting waste respectively. Inventory (20%), defect (19%), waiting (19%), motion (18%), overproduction (13%), transportation (10%) and process (02%) wastes are ranked as 1st, 2nd, 2nd, 3rd, 4th, 5th and 6th affected waste with respectively. The WRM results serve as guidelines for wastes elimination. This paper investigated the seven wastes relationships in textile industry therefore the other wastes relationships in textile & other industries can be investigated. This approach provides a method to investigate the wastes relationships which provides an insight to concentrate effort among the seven wastes.

Keywords:

lean manufacturing; Waste relations matrix (WRM); Wastes; Seven wastes relationships.