Table:
2015
2016
2017

kilograms

production
9,659
35,912
80,535

sales
8,446
26,716
46,186

inventories
17,985
18,087
38,927

Analyze the provided table and identify the locations of these cells:
CELL VALUE 1: '80,535',
CELL VALUE 2: '38,927',
CELL VALUE 3: '18,087',
CELL VALUE 4: '35,912',
CELL VALUE 5: '2016',
CELL VALUE 6: '17,985',
CELL VALUE 7: '9,659',
CELL VALUE 8: '2017',
CELL VALUE 9: 'Total',
CELL VALUE 10: 'Japan',
CELL VALUE 11: 'kilograms',
Provide the cell locations using the JSON format {'value': '<cell value>', 'location': (row_id, column_id)}, where row and column id start from 1. Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'.

The target cell locations are as follows:
CELL LOCATION 1: {'value': '80,535', 'location': (3, 4)}
CELL LOCATION 2: {'value': '38,927', 'location': (5, 4)}
CELL LOCATION 3: {'value': '18,087', 'location': (5, 3)}
CELL LOCATION 4: {'value': '35,912', 'location': (3, 3)}
CELL LOCATION 5: {'value': '2016', 'location': (1, 3)}
CELL LOCATION 6: {'value': '17,985', 'location': (5, 2)}
CELL LOCATION 7: {'value': '9,659', 'location': (3, 2)}
CELL LOCATION 8: {'value': '2017', 'location': (1, 4)}
CELL LOCATION 9: {'value': 'Total', 'location': 'DOES NOT EXIST'}
CELL LOCATION 10: {'value': 'Japan', 'location': 'DOES NOT EXIST'}
CELL LOCATION 11: {'value': 'kilograms', 'location': (2, 2)}